A Survey on Network Embedding

Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure. Recently, a significant amount of progresses have been made toward this emerging network analysis paradigm. In this survey, we focus on categorizing and then reviewing the...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 31; H. 5; S. 833 - 852
Hauptverfasser:	Cui, Peng, Wang, Xiao, Pei, Jian, Zhu, Wenwu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computational complexity Data science Distributed databases Embedded systems Embedding graph embedding Image reconstruction Internet resources Machine learning Network analysis Network embedding Network topology Social network services Task analysis
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure. Recently, a significant amount of progresses have been made toward this emerging network analysis paradigm. In this survey, we focus on categorizing and then reviewing the current development on network embedding methods, and point out its future research directions. We first summarize the motivation of network embedding. We discuss the classical graph embedding algorithms and their relationship with network embedding. Afterwards and primarily, we provide a comprehensive overview of a large number of network embedding methods in a systematic manner, covering the structure- and property-preserving network embedding methods, the network embedding methods with side information, and the advanced information preserving network embedding methods. Moreover, several evaluation approaches for network embedding and some useful online resources, including the network data sets and softwares, are reviewed, too. Finally, we discuss the framework of exploiting these network embedding methods to build an effective system and point out some potential future directions.
AbstractList	Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure. Recently, a significant amount of progresses have been made toward this emerging network analysis paradigm. In this survey, we focus on categorizing and then reviewing the current development on network embedding methods, and point out its future research directions. We first summarize the motivation of network embedding. We discuss the classical graph embedding algorithms and their relationship with network embedding. Afterwards and primarily, we provide a comprehensive overview of a large number of network embedding methods in a systematic manner, covering the structure- and property-preserving network embedding methods, the network embedding methods with side information, and the advanced information preserving network embedding methods. Moreover, several evaluation approaches for network embedding and some useful online resources, including the network data sets and softwares, are reviewed, too. Finally, we discuss the framework of exploiting these network embedding methods to build an effective system and point out some potential future directions.
Author	Zhu, Wenwu Wang, Xiao Cui, Peng Pei, Jian
Author_xml	– sequence: 1 givenname: Peng orcidid: 0000-0003-2957-8511 surname: Cui fullname: Cui, Peng email: cuip@tsinghua.edu.cn organization: Department of Computer Science and Technology, Tsinghua University, Beijing, China – sequence: 2 givenname: Xiao surname: Wang fullname: Wang, Xiao email: wangxiao007@mail.tsinghua.edu.cn organization: Department of Computer Science and Technology, Tsinghua University, Beijing, China – sequence: 3 givenname: Jian orcidid: 0000-0002-2200-8711 surname: Pei fullname: Pei, Jian email: jpei@cs.sfu.ca organization: School of Computing Science, Simon Fraser University, Burnaby, BC, Canada – sequence: 4 givenname: Wenwu orcidid: 0000-0003-2236-9290 surname: Zhu fullname: Zhu, Wenwu email: wwzhu@tsinghua.edu.cn organization: Department of Computer Science and Technology, Tsinghua University, Beijing, China
BookMark	eNp9kEtLAzEUhYNUsK3-ABFhwPXUe_OYJMtS6wOLLqzrkJlkZGo7qZlppf_eKS0uXLi6d3G-c-AbkF4dak_IJcIIEfTt_PluOqKAakQV15LKE9JHIVRKUWOv-4FjyhmXZ2TQNAsAUFJhn1yPk7dN3PpdEurkxbffIX4m01Xunavqj3NyWtpl4y-Od0je76fzyWM6e314moxnaUE1a9OiFF4z7gCczViuXCE8WMa5kjxHJmg3ZRHQKwXSWV0iUIQs105kFkvGhuTm0LuO4Wvjm9YswibW3aShFBgHyKTqUvKQKmJomuhLU1StbatQt9FWS4Ng9i7M3oXZuzBHFx2Jf8h1rFY27v5lrg5M5b3_zSumqeSC_QB7BGjD
CODEN	ITKEEH
CitedBy_id	crossref_primary_10_1007_s10489_023_04842_8 crossref_primary_10_1016_j_knosys_2023_110936 crossref_primary_10_1016_j_eswa_2024_124389 crossref_primary_10_1016_j_knosys_2023_110930 crossref_primary_10_1016_j_neucom_2020_01_012 crossref_primary_10_1016_j_neucom_2021_03_020 crossref_primary_10_1109_TNSE_2022_3177307 crossref_primary_10_3390_fi12030058 crossref_primary_10_1109_TCBB_2021_3050102 crossref_primary_10_1016_j_knosys_2020_105502 crossref_primary_10_1002_ima_22531 crossref_primary_10_1016_j_ins_2023_02_045 crossref_primary_10_1109_TVCG_2022_3156760 crossref_primary_10_1007_s11280_024_01320_0 crossref_primary_10_1155_2021_3911137 crossref_primary_10_1145_3434747 crossref_primary_10_3390_app122211464 crossref_primary_10_7717_peerj_cs_357 crossref_primary_10_1080_07350015_2024_2418849 crossref_primary_10_1186_s12859_021_03971_6 crossref_primary_10_1093_bib_bbac579 crossref_primary_10_1016_j_neucom_2022_04_110 crossref_primary_10_1109_TKDE_2022_3152502 crossref_primary_10_1109_TITS_2021_3105445 crossref_primary_10_1016_j_ins_2023_119882 crossref_primary_10_1109_TNSE_2021_3073956 crossref_primary_10_1007_s41109_023_00597_w crossref_primary_10_1109_TKDE_2021_3053389 crossref_primary_10_3390_app10144835 crossref_primary_10_1134_S1995080222010127 crossref_primary_10_1016_j_ins_2020_11_010 crossref_primary_10_1093_comjnl_bxac189 crossref_primary_10_1109_TKDE_2020_2987784 crossref_primary_10_3390_app122110898 crossref_primary_10_3390_app11052371 crossref_primary_10_1109_TKDE_2023_3325461 crossref_primary_10_1186_s12918_019_0694_y crossref_primary_10_1109_TKDE_2025_3552644 crossref_primary_10_1016_j_neucom_2022_04_128 crossref_primary_10_1016_j_neucom_2024_128273 crossref_primary_10_1016_j_swevo_2022_101069 crossref_primary_10_3389_fdata_2021_699070 crossref_primary_10_1109_ACCESS_2019_2900920 crossref_primary_10_3389_fnins_2022_1094795 crossref_primary_10_1109_TNNLS_2022_3221100 crossref_primary_10_1007_s10115_023_01986_4 crossref_primary_10_1016_j_eswa_2025_126506 crossref_primary_10_1088_1742_6596_1976_1_012037 crossref_primary_10_1016_j_eswa_2020_114359 crossref_primary_10_32604_iasc_2023_040818 crossref_primary_10_1016_j_ins_2021_07_087 crossref_primary_10_1371_journal_pone_0301262 crossref_primary_10_1109_TKDE_2020_3025147 crossref_primary_10_1145_3442390 crossref_primary_10_1109_TBDATA_2024_3489412 crossref_primary_10_1109_TNNLS_2020_3036825 crossref_primary_10_1109_TKDE_2018_2872602 crossref_primary_10_1007_s11390_019_1956_2 crossref_primary_10_1080_09537325_2023_2264951 crossref_primary_10_1007_s13042_021_01465_8 crossref_primary_10_1016_j_chaos_2025_116940 crossref_primary_10_3233_JIFS_202961 crossref_primary_10_1109_TPAMI_2023_3327631 crossref_primary_10_1007_s13042_021_01400_x crossref_primary_10_1162_dint_a_00197 crossref_primary_10_1109_TNSE_2020_3046746 crossref_primary_10_1109_TKDE_2019_2951398 crossref_primary_10_1016_j_datak_2022_102003 crossref_primary_10_1109_TCYB_2021_3094893 crossref_primary_10_1145_3653978 crossref_primary_10_1109_TNNLS_2023_3256066 crossref_primary_10_1109_TKDE_2019_2931833 crossref_primary_10_7717_peerj_cs_262 crossref_primary_10_1016_j_ins_2025_122039 crossref_primary_10_1016_j_comnet_2024_110813 crossref_primary_10_3389_fgene_2021_814073 crossref_primary_10_1109_TNNLS_2021_3083318 crossref_primary_10_1109_TKDE_2021_3056884 crossref_primary_10_1109_ACCESS_2019_2942221 crossref_primary_10_1007_s10115_023_01941_3 crossref_primary_10_1007_s42524_022_0190_8 crossref_primary_10_1109_TKDE_2020_3033829 crossref_primary_10_1016_j_eswa_2021_115868 crossref_primary_10_1109_TII_2019_2947066 crossref_primary_10_1145_3377550 crossref_primary_10_1016_j_eswa_2021_114895 crossref_primary_10_1109_TCYB_2023_3239555 crossref_primary_10_1109_TNNLS_2019_2945869 crossref_primary_10_1109_TKDE_2022_3231104 crossref_primary_10_3390_app10041509 crossref_primary_10_1007_s10489_023_05162_7 crossref_primary_10_1016_j_physd_2025_134632 crossref_primary_10_1109_TKDE_2020_3045924 crossref_primary_10_1109_TPAMI_2022_3202158 crossref_primary_10_1007_s10115_023_01856_z crossref_primary_10_1007_s13042_023_02018_x crossref_primary_10_3390_e23111542 crossref_primary_10_3390_e26020149 crossref_primary_10_1016_j_future_2021_10_011 crossref_primary_10_1145_3442201 crossref_primary_10_1016_j_eswa_2021_114888 crossref_primary_10_1093_bib_bbaa353 crossref_primary_10_1016_j_physa_2023_128757 crossref_primary_10_1002_sdtp_18528 crossref_primary_10_3233_IDA_194843 crossref_primary_10_1051_itmconf_20224701003 crossref_primary_10_1016_j_jksuci_2023_101758 crossref_primary_10_1109_TIFS_2022_3191493 crossref_primary_10_1109_TKDE_2020_2989512 crossref_primary_10_1109_TKDE_2021_3089763 crossref_primary_10_1109_ACCESS_2020_2980952 crossref_primary_10_3389_fnins_2020_00001 crossref_primary_10_3390_app13127272 crossref_primary_10_1109_ACCESS_2021_3122100 crossref_primary_10_1109_ACCESS_2020_3037118 crossref_primary_10_1016_j_jksuci_2023_101633 crossref_primary_10_3390_su142416642 crossref_primary_10_1016_j_compbiomed_2019_103333 crossref_primary_10_1145_3386041 crossref_primary_10_1016_j_jnca_2020_102854 crossref_primary_10_1016_j_neucom_2021_05_058 crossref_primary_10_1016_j_knosys_2021_107185 crossref_primary_10_1007_s00607_020_00858_x crossref_primary_10_1109_TKDE_2022_3141951 crossref_primary_10_1145_3653304 crossref_primary_10_7717_peerj_cs_1736 crossref_primary_10_1007_s10994_020_05898_0 crossref_primary_10_1109_TDSC_2024_3353929 crossref_primary_10_1109_ACCESS_2020_2974016 crossref_primary_10_1007_s00521_023_08974_3 crossref_primary_10_1088_1742_6596_1693_1_012018 crossref_primary_10_1093_bib_bbaa257 crossref_primary_10_1109_TNNLS_2021_3084957 crossref_primary_10_1109_ACCESS_2024_3475380 crossref_primary_10_1016_j_engappai_2024_107947 crossref_primary_10_1016_j_ijepes_2022_108389 crossref_primary_10_1016_j_ins_2022_06_046 crossref_primary_10_1145_3488667 crossref_primary_10_1093_bib_bbab340 crossref_primary_10_1109_TKDE_2019_2913394 crossref_primary_10_1145_3379507 crossref_primary_10_3390_app12115403 crossref_primary_10_1016_j_procs_2022_01_317 crossref_primary_10_1093_comnet_cnad051 crossref_primary_10_1109_TKDE_2020_2979980 crossref_primary_10_1002_cpe_7069 crossref_primary_10_1145_3415157 crossref_primary_10_1007_s41109_025_00722_x crossref_primary_10_1016_j_neucom_2023_126517 crossref_primary_10_1109_ACCESS_2024_3425892 crossref_primary_10_1039_D2RE00309K crossref_primary_10_3390_e24020276 crossref_primary_10_1016_j_eswa_2020_114294 crossref_primary_10_1109_TNSM_2024_3386902 crossref_primary_10_3389_fcell_2021_629876 crossref_primary_10_1007_s00521_022_07426_8 crossref_primary_10_3390_sci6040077 crossref_primary_10_1109_ACCESS_2021_3077888 crossref_primary_10_1109_TKDE_2021_3076766 crossref_primary_10_3390_e25020257 crossref_primary_10_1109_TPAMI_2023_3300877 crossref_primary_10_3233_JIFS_221893 crossref_primary_10_3390_app12199795 crossref_primary_10_1016_j_ijar_2023_01_001 crossref_primary_10_1016_j_joi_2024_101529 crossref_primary_10_1371_journal_pone_0326756 crossref_primary_10_1007_s11227_025_07022_2 crossref_primary_10_1016_j_neucom_2023_126509 crossref_primary_10_1007_s40747_024_01402_6 crossref_primary_10_1002_sam_11486 crossref_primary_10_1093_bib_bbaa303 crossref_primary_10_1109_TKDE_2020_3034396 crossref_primary_10_1007_s41019_021_00155_3 crossref_primary_10_1109_TAI_2021_3133818 crossref_primary_10_1007_s41019_020_00138_w crossref_primary_10_4018_IJWSR_319960 crossref_primary_10_3390_app12094168 crossref_primary_10_1007_s11192_022_04425_3 crossref_primary_10_1109_TKDE_2019_2924374 crossref_primary_10_1109_TKDE_2022_3167062 crossref_primary_10_1145_3660522 crossref_primary_10_1145_3530012 crossref_primary_10_1007_s11390_023_2256_4 crossref_primary_10_1109_TIM_2021_3094229 crossref_primary_10_1109_TKDE_2022_3149888 crossref_primary_10_1080_07421222_2024_2376384 crossref_primary_10_1109_ACCESS_2025_3553377 crossref_primary_10_1007_s10489_021_02633_7 crossref_primary_10_1177_14738716221114372 crossref_primary_10_1371_journal_pone_0310189 crossref_primary_10_1109_TKDE_2021_3096231 crossref_primary_10_1109_TKDE_2021_3109433 crossref_primary_10_1007_s12539_024_00685_0 crossref_primary_10_1109_TPAMI_2021_3083614 crossref_primary_10_1007_s40747_022_00806_6 crossref_primary_10_1016_j_knosys_2020_106448 crossref_primary_10_3390_ijerph17186853 crossref_primary_10_3390_app122211653 crossref_primary_10_1016_j_compbiomed_2023_106703 crossref_primary_10_1016_j_eswa_2021_115991 crossref_primary_10_1109_ACCESS_2019_2941729 crossref_primary_10_1109_TCBB_2022_3175598 crossref_primary_10_1109_TKDE_2020_2992500 crossref_primary_10_1007_s41109_024_00639_x crossref_primary_10_1109_TSC_2023_3287189 crossref_primary_10_1016_j_osnem_2023_100273 crossref_primary_10_1016_j_knosys_2020_106438 crossref_primary_10_1109_TCYB_2021_3084464 crossref_primary_10_1007_s41060_019_00190_4 crossref_primary_10_1016_j_cose_2024_103821 crossref_primary_10_1007_s00521_024_10923_7 crossref_primary_10_1016_j_ins_2020_01_033 crossref_primary_10_1016_j_knosys_2023_110456 crossref_primary_10_1016_j_inffus_2025_103127 crossref_primary_10_1016_j_ins_2021_03_044 crossref_primary_10_1007_s11192_022_04555_8 crossref_primary_10_1016_j_knosys_2022_109187 crossref_primary_10_1109_TKDE_2019_2957786 crossref_primary_10_1145_3428301 crossref_primary_10_1007_s10489_021_02304_7 crossref_primary_10_1145_3768625 crossref_primary_10_1016_j_ins_2023_119969 crossref_primary_10_1109_TSE_2024_3454605 crossref_primary_10_1162_netn_a_00243 crossref_primary_10_1016_j_engappai_2025_110543 crossref_primary_10_1016_j_joi_2021_101178 crossref_primary_10_1016_j_physrep_2024_11_006 crossref_primary_10_1109_TLT_2021_3059362 crossref_primary_10_1109_TNSE_2023_3302530 crossref_primary_10_1109_TGRS_2023_3249344 crossref_primary_10_1109_TKDE_2022_3144250 crossref_primary_10_7717_peerj_cs_2562 crossref_primary_10_7717_peerj_cs_2560 crossref_primary_10_1016_j_knosys_2024_112928 crossref_primary_10_1109_ACCESS_2025_3561047 crossref_primary_10_1109_TNNLS_2020_2978386 crossref_primary_10_1371_journal_pone_0306883 crossref_primary_10_3389_fdata_2024_1489306 crossref_primary_10_3390_info11050250 crossref_primary_10_1016_j_ins_2021_04_095 crossref_primary_10_1016_j_knosys_2020_106618 crossref_primary_10_1109_TCSS_2022_3176928 crossref_primary_10_1016_j_jnca_2022_103343 crossref_primary_10_1016_j_knosys_2022_109171 crossref_primary_10_1088_1402_4896_ad9fae crossref_primary_10_1109_TCSS_2021_3070914 crossref_primary_10_1088_1742_6596_1769_1_012054 crossref_primary_10_1109_JIOT_2020_3036583 crossref_primary_10_1109_TKDE_2020_3022072 crossref_primary_10_1109_TKDE_2022_3220948 crossref_primary_10_1007_s10489_023_04840_w crossref_primary_10_1088_1742_6596_1769_1_012055 crossref_primary_10_1109_TKDE_2020_3025464 crossref_primary_10_1016_j_chaos_2023_113830 crossref_primary_10_1016_j_ifacol_2023_12_082 crossref_primary_10_1016_j_ins_2021_03_068 crossref_primary_10_1007_s13721_022_00406_x crossref_primary_10_1016_j_jocs_2022_101825 crossref_primary_10_3390_app15052762 crossref_primary_10_1016_j_neunet_2024_106151 crossref_primary_10_1109_TNNLS_2021_3129280 crossref_primary_10_1016_j_dsp_2022_103897 crossref_primary_10_1145_3580516 crossref_primary_10_1109_TKDE_2020_3025588 crossref_primary_10_3390_math11214505 crossref_primary_10_1145_3710898 crossref_primary_10_1016_j_neunet_2024_106396 crossref_primary_10_1007_s13042_024_02201_8 crossref_primary_10_1109_TKDE_2023_3305809 crossref_primary_10_1109_TKDE_2019_2959991 crossref_primary_10_1016_j_ins_2020_09_039 crossref_primary_10_1109_TNSE_2022_3176062 crossref_primary_10_1016_j_neucom_2023_126327 crossref_primary_10_1016_j_jnca_2024_103963 crossref_primary_10_1109_TKDE_2022_3221929 crossref_primary_10_1016_j_comnet_2019_106969 crossref_primary_10_1016_j_future_2020_11_016 crossref_primary_10_1145_3652604 crossref_primary_10_1007_s00521_021_06135_y crossref_primary_10_1016_j_jpdc_2022_09_013 crossref_primary_10_1007_s00521_021_06706_z crossref_primary_10_1109_TKDE_2020_2993870 crossref_primary_10_1109_TKDE_2021_3074654 crossref_primary_10_1007_s00521_023_08323_4 crossref_primary_10_1007_s10489_023_04804_0 crossref_primary_10_1109_TKDE_2023_3289949 crossref_primary_10_1155_2022_3766810 crossref_primary_10_1016_j_ipm_2022_103253 crossref_primary_10_1038_s41598_023_29098_7 crossref_primary_10_1155_2021_2260488 crossref_primary_10_1214_22_STS881 crossref_primary_10_1109_ACCESS_2019_2958326 crossref_primary_10_1016_j_ins_2022_04_042 crossref_primary_10_1016_j_cosrev_2020_100247 crossref_primary_10_1111_cgf_14859 crossref_primary_10_1089_big_2019_0169 crossref_primary_10_1109_ACCESS_2022_3184801 crossref_primary_10_1109_TKDE_2023_3277957 crossref_primary_10_7717_peerj_cs_2489 crossref_primary_10_1007_s10994_021_06044_0 crossref_primary_10_1007_s41019_022_00188_2 crossref_primary_10_7717_peerj_cs_1030 crossref_primary_10_1016_j_neunet_2024_106897 crossref_primary_10_1007_s11280_021_00878_3 crossref_primary_10_1038_s41598_020_67970_y crossref_primary_10_1109_TCYB_2021_3120134 crossref_primary_10_1145_3542700_3542711 crossref_primary_10_1002_int_22683 crossref_primary_10_1109_TBDATA_2024_3423699 crossref_primary_10_1109_TITS_2022_3202089 crossref_primary_10_1109_TKDE_2020_2982898 crossref_primary_10_1109_ACCESS_2020_3044367 crossref_primary_10_1109_TNNLS_2021_3084195 crossref_primary_10_3390_ijms26094088 crossref_primary_10_1007_s11042_023_14538_3 crossref_primary_10_1109_TCSS_2020_3000528 crossref_primary_10_1109_ACCESS_2024_3379271 crossref_primary_10_1016_j_eswa_2022_116757 crossref_primary_10_1016_j_ins_2020_07_015 crossref_primary_10_1007_s00607_021_00916_y crossref_primary_10_1109_TCSS_2019_2962819 crossref_primary_10_1007_s10489_021_03102_x crossref_primary_10_1016_j_jnca_2024_104070 crossref_primary_10_1007_s13198_022_01849_1 crossref_primary_10_1109_TNSE_2021_3131223 crossref_primary_10_1109_TKDE_2020_2981333 crossref_primary_10_3390_sym15061178 crossref_primary_10_1016_j_eswa_2024_123636 crossref_primary_10_1371_journal_pone_0321114 crossref_primary_10_1109_TCSS_2024_3457161 crossref_primary_10_1109_TKDE_2019_2932388 crossref_primary_10_1145_3610535 crossref_primary_10_1093_bioinformatics_btaf420 crossref_primary_10_1002_cpe_8331 crossref_primary_10_1007_s00521_022_07989_6 crossref_primary_10_1109_TGRS_2021_3136159 crossref_primary_10_1002_csr_3048 crossref_primary_10_1109_TKDE_2022_3153060 crossref_primary_10_1016_j_jbi_2022_104010 crossref_primary_10_1109_TNSE_2020_3035352 crossref_primary_10_1155_2021_4431416 crossref_primary_10_1016_j_asoc_2022_109193 crossref_primary_10_1080_01969722_2025_2533164 crossref_primary_10_1007_s13278_020_00686_z crossref_primary_10_1016_j_jnca_2021_103151 crossref_primary_10_1109_TKDE_2020_3029061 crossref_primary_10_1371_journal_pone_0280839 crossref_primary_10_1016_j_eswa_2020_113957 crossref_primary_10_1038_s41598_020_77277_7 crossref_primary_10_1109_TKDE_2022_3153053 crossref_primary_10_1016_j_knosys_2023_110589 crossref_primary_10_1109_JAS_2023_123450 crossref_primary_10_1007_s10994_022_06174_z crossref_primary_10_1007_s40747_023_01250_w crossref_primary_10_1007_s10618_022_00902_8 crossref_primary_10_1109_TKDE_2020_3009488 crossref_primary_10_1109_TKDE_2020_3046511 crossref_primary_10_4018_IJDWM_345406 crossref_primary_10_1103_PhysRevE_111_054315 crossref_primary_10_3390_math11234788 crossref_primary_10_1016_j_imavis_2021_104371 crossref_primary_10_1109_TIFS_2024_3516570 crossref_primary_10_1109_TKDE_2021_3080293 crossref_primary_10_1145_3488902 crossref_primary_10_1007_s40747_023_01052_0 crossref_primary_10_1088_2632_072X_ad0e23 crossref_primary_10_1109_TKDE_2019_2961882 crossref_primary_10_1007_s11063_021_10576_w crossref_primary_10_1109_COMST_2023_3340099 crossref_primary_10_1155_2020_8372928 crossref_primary_10_1007_s41060_025_00797_w crossref_primary_10_1016_j_patcog_2023_109469 crossref_primary_10_1016_j_physa_2022_126966 crossref_primary_10_1109_ACCESS_2020_3022664 crossref_primary_10_1109_TETCI_2019_2952908 crossref_primary_10_1016_j_cosrev_2020_100286 crossref_primary_10_1145_3749116_3749122 crossref_primary_10_1109_TCSS_2022_3144350 crossref_primary_10_1080_0951192X_2022_2104460 crossref_primary_10_1109_TKDE_2020_2983409 crossref_primary_10_1109_ACCESS_2020_3035503 crossref_primary_10_1103_PhysRevE_111_044402 crossref_primary_10_1109_TNNLS_2024_3403155 crossref_primary_10_1109_TCYB_2022_3159661 crossref_primary_10_1109_TBDATA_2021_3131610 crossref_primary_10_1109_ACCESS_2021_3116226 crossref_primary_10_1109_TAI_2023_3345828 crossref_primary_10_1109_ACCESS_2020_2995406 crossref_primary_10_3390_app12010522 crossref_primary_10_1145_3617376 crossref_primary_10_1109_TNNLS_2022_3208914 crossref_primary_10_1109_TCYB_2020_3035066 crossref_primary_10_1109_TKDE_2018_2872061 crossref_primary_10_1109_ACCESS_2019_2899582 crossref_primary_10_1109_TLT_2022_3196355 crossref_primary_10_1007_s10618_020_00733_5 crossref_primary_10_1109_ACCESS_2020_3045532 crossref_primary_10_1109_TKDE_2018_2877748 crossref_primary_10_1093_psyrad_kkab009 crossref_primary_10_1109_TIM_2024_3386201 crossref_primary_10_1109_ACCESS_2020_3013849 crossref_primary_10_1145_3533725 crossref_primary_10_1145_3744237 crossref_primary_10_1186_s13195_021_00826_3 crossref_primary_10_1007_s10586_024_05043_9 crossref_primary_10_1145_3494558 crossref_primary_10_1109_TKDE_2023_3333529 crossref_primary_10_1371_journal_pone_0254744 crossref_primary_10_1016_j_eswa_2021_116463 crossref_primary_10_1007_s10994_021_06000_y crossref_primary_10_1109_LRA_2020_2994483 crossref_primary_10_1109_TPAMI_2024_3358541 crossref_primary_10_1109_TKDE_2019_2893920 crossref_primary_10_1109_ACCESS_2022_3213319 crossref_primary_10_3233_JIFS_230795 crossref_primary_10_1109_TKDE_2022_3186158 crossref_primary_10_1109_TCYB_2019_2932096 crossref_primary_10_1002_int_22967 crossref_primary_10_1016_j_physa_2023_129173 crossref_primary_10_1016_j_knosys_2021_107996 crossref_primary_10_1109_TNSE_2021_3130321 crossref_primary_10_1109_TKDE_2020_3021393 crossref_primary_10_1007_s10844_020_00625_6 crossref_primary_10_1109_ACCESS_2020_2979163 crossref_primary_10_1007_s00607_023_01238_x crossref_primary_10_1016_j_asoc_2025_113584 crossref_primary_10_3390_app13021093 crossref_primary_10_20965_jaciii_2022_p0236 crossref_primary_10_1109_JBHI_2022_3233498 crossref_primary_10_1109_TNNLS_2024_3384348 crossref_primary_10_3390_math10183345 crossref_primary_10_1007_s13042_022_01665_w crossref_primary_10_1007_s10489_021_02555_4 crossref_primary_10_1007_s41109_022_00471_1 crossref_primary_10_1145_3406600 crossref_primary_10_1109_TCSS_2024_3372775 crossref_primary_10_1016_j_knosys_2021_107248 crossref_primary_10_1016_j_neucom_2023_02_060 crossref_primary_10_1007_s10618_020_00684_x crossref_primary_10_1016_j_neunet_2020_08_021 crossref_primary_10_1088_1402_4896_ad3eea crossref_primary_10_1109_TKDE_2022_3188426 crossref_primary_10_1007_s11042_023_17126_7 crossref_primary_10_1007_s10287_023_00460_4 crossref_primary_10_1016_j_eswa_2020_113642 crossref_primary_10_1109_TKDE_2024_3523857 crossref_primary_10_1002_asi_24711 crossref_primary_10_1007_s10462_023_10478_4 crossref_primary_10_1016_j_chaos_2024_115630 crossref_primary_10_1109_ACCESS_2021_3050607 crossref_primary_10_1007_s10489_023_04450_6 crossref_primary_10_1016_j_ins_2020_05_012 crossref_primary_10_1007_s10462_023_10662_6 crossref_primary_10_1038_s41598_023_33124_z crossref_primary_10_1109_TBDATA_2023_3284270 crossref_primary_10_1109_TNNLS_2020_2986472 crossref_primary_10_1109_TKDE_2021_3079498 crossref_primary_10_1109_TNSE_2024_3417850 crossref_primary_10_3390_e27060556 crossref_primary_10_1016_j_neucom_2021_05_021 crossref_primary_10_1109_TKDE_2021_3114444 crossref_primary_10_3233_IDA_205168 crossref_primary_10_1007_s00521_025_11133_5 crossref_primary_10_1093_bib_bbac059 crossref_primary_10_1109_TNNLS_2023_3244397 crossref_primary_10_1109_ACCESS_2019_2955468 crossref_primary_10_1016_j_neucom_2024_127469 crossref_primary_10_1016_j_ocecoaman_2024_107126 crossref_primary_10_1145_3480243 crossref_primary_10_1016_j_techfore_2022_122161 crossref_primary_10_3390_e23060771 crossref_primary_10_1007_s11390_022_2194_6 crossref_primary_10_1007_s11704_020_9182_1 crossref_primary_10_2139_ssrn_4708802 crossref_primary_10_1007_s11390_021_1277_0 crossref_primary_10_1016_j_neucom_2022_07_030 crossref_primary_10_1016_j_neunet_2025_108056 crossref_primary_10_1016_j_isprsjprs_2025_05_007 crossref_primary_10_1016_j_techfore_2024_123966 crossref_primary_10_1109_TKDE_2023_3270101 crossref_primary_10_1109_TNNLS_2022_3172296 crossref_primary_10_1007_s10994_021_05966_z crossref_primary_10_1109_JSYST_2020_3028168 crossref_primary_10_1109_TPAMI_2022_3141095 crossref_primary_10_1038_s41467_022_35181_w crossref_primary_10_1140_epjds_s13688_020_00248_5 crossref_primary_10_1109_JBHI_2024_3419015 crossref_primary_10_1080_0951192X_2023_2258090 crossref_primary_10_23919_JSEE_2022_000036 crossref_primary_10_1145_3718734 crossref_primary_10_1371_journal_pone_0285563 crossref_primary_10_1016_j_oceaneng_2024_116684 crossref_primary_10_3389_fnins_2019_01387 crossref_primary_10_1016_j_eswa_2020_113790 crossref_primary_10_1007_s00521_020_04908_5 crossref_primary_10_1109_TNNLS_2022_3201102 crossref_primary_10_1007_s00180_023_01334_8 crossref_primary_10_1109_TNNLS_2024_3386168 crossref_primary_10_1109_ACCESS_2021_3090055 crossref_primary_10_1109_TNSE_2023_3266381 crossref_primary_10_1007_s10994_019_05801_6 crossref_primary_10_1109_TKDE_2021_3118815 crossref_primary_10_1093_bioadv_vbae164 crossref_primary_10_1109_ACCESS_2020_2977332 crossref_primary_10_1016_j_knosys_2021_107564 crossref_primary_10_3233_IDA_216149 crossref_primary_10_1145_3488059 crossref_primary_10_1080_01621459_2021_1887742 crossref_primary_10_3390_app11115043 crossref_primary_10_1016_j_compbiolchem_2022_107670 crossref_primary_10_1007_s11432_018_9943_9 crossref_primary_10_1016_j_ymeth_2020_06_015 crossref_primary_10_1109_TKDE_2023_3330684 crossref_primary_10_3390_s23031247 crossref_primary_10_1093_bib_bbac258 crossref_primary_10_1016_j_patcog_2023_109747 crossref_primary_10_1016_j_ins_2023_01_038 crossref_primary_10_1109_TKDE_2024_3437781 crossref_primary_10_1140_epjb_s10051_023_00495_1 crossref_primary_10_1007_s00180_025_01626_1 crossref_primary_10_1109_TKDE_2022_3148284 crossref_primary_10_1016_j_ipm_2020_102375 crossref_primary_10_1007_s40747_022_00848_w crossref_primary_10_3390_sym15020312 crossref_primary_10_1007_s42001_025_00429_0 crossref_primary_10_1016_j_knosys_2021_107453 crossref_primary_10_1109_ACCESS_2020_2981649 crossref_primary_10_1109_TNSE_2022_3201529 crossref_primary_10_1093_bib_bbac006 crossref_primary_10_1016_j_jrtpm_2025_100518 crossref_primary_10_1007_s11192_022_04484_6 crossref_primary_10_1109_JIOT_2022_3201772 crossref_primary_10_1016_j_eswa_2021_114913 crossref_primary_10_1016_j_eswa_2024_126309 crossref_primary_10_1109_TKDE_2021_3069983 crossref_primary_10_1109_TKDE_2020_3002700 crossref_primary_10_1016_j_knosys_2022_108752 crossref_primary_10_1016_j_ins_2022_09_055 crossref_primary_10_1145_3625820 crossref_primary_10_1109_ACCESS_2019_2932396 crossref_primary_10_1007_s11042_024_20123_z crossref_primary_10_1145_3491206 crossref_primary_10_1155_2021_6654349 crossref_primary_10_1007_s40747_021_00332_x crossref_primary_10_1109_TDSC_2020_2991872 crossref_primary_10_1038_s41562_025_02153_1 crossref_primary_10_1109_TNNLS_2023_3257488 crossref_primary_10_1109_TNSE_2022_3153643 crossref_primary_10_1109_TBDATA_2022_3177455 crossref_primary_10_1145_3468674 crossref_primary_10_32604_cmes_2023_024781 crossref_primary_10_1109_TKDE_2022_3151474 crossref_primary_10_1002_spe_3240 crossref_primary_10_1016_j_knosys_2021_107474 crossref_primary_10_1137_20M1386062 crossref_primary_10_3390_sym14091840 crossref_primary_10_1007_s00521_023_08468_2 crossref_primary_10_1145_3477141 crossref_primary_10_1007_s10462_022_10191_8 crossref_primary_10_1007_s10489_024_05567_y crossref_primary_10_1109_TCSS_2022_3217840 crossref_primary_10_1109_TIFS_2024_3515842 crossref_primary_10_26508_lsa_202101119
Cites_doi	10.1145/1217299.1217301 10.1017/nws.2016.20 10.1109/ICDM.2014.119 10.1145/1117454.1117456 10.1109/5254.708428 10.1007/BF02289026 10.1073/pnas.122653799 10.1145/1401890.1402008 10.1117/12.919823 10.1126/science.290.5500.2323 10.1109/CVPR.2016.293 10.1103/PhysRevE.82.036106 10.1109/2945.841119 10.1145/3018661.3018735 10.14778/3402707.3402736 10.1126/science.290.5500.2319 10.1145/2939672.2939751 10.1145/2623330.2623732 10.1145/2556195.2556216 10.1109/ICDM.2009.135 10.1137/1.9781611974973.71 10.1023/A:1009953814988 10.1109/ICASSP.2017.7953246 10.1145/2806416.2806512 10.1016/j.physa.2011.12.021 10.1145/1646396.1646452 10.1145/2783258.2783283 10.1103/PhysRevE.74.036104 10.1037/h0046049 10.1093/bioinformatics/btu269 10.1145/2124295.2124382 10.1038/nature14539 10.1109/ICDE.2016.7498256 10.1145/2736277.2741093 10.1145/3038912.3052575 10.1109/TPAMI.2010.231 10.1145/2783258.2783417 10.1093/nar/gkm1001 10.1145/2939672.2939754 10.1162/neco.1997.9.8.1735 10.1126/science.aad9029 10.1145/3038912.3052643 10.1137/1.9781611974973.37 10.21437/Interspeech.2010-343 10.1007/s10618-014-0365-y 10.1145/2939672.2939815 10.1002/asi.20591 10.1007/978-3-319-25207-0_10 10.1145/2783258.2783296 10.1016/S0378-8733(03)00009-1 10.1145/2939672.2939753 10.1145/1645953.1646094 10.1609/aimag.v29i3.2157 10.1016/j.physa.2010.11.027 10.1162/089976603321780317 10.1145/2503792.2503797 10.1145/2567948.2576940 10.1145/1557019.1557109 10.1145/3018661.3018667 10.1145/3018661.3018723 10.1145/1376616.1376746 10.1007/s00224-014-9558-4 10.1609/icwsm.v4i1.14024 10.1145/2556195.2556225 10.1137/0718026 10.1109/72.80266 10.1086/421787
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019
DBID	97E RIA RIE AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D
DOI	10.1109/TKDE.2018.2849727
DatabaseName	IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Xplore CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional
DatabaseTitle	CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional
DatabaseTitleList	Technology Research Database
Database_xml	– sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering Computer Science
EISSN	1558-2191
EndPage	852
ExternalDocumentID	10_1109_TKDE_2018_2849727 8392745
Genre	orig-research
GrantInformation_xml	– fundername: National Natural Science Foundation of China grantid: U1611461; 61772304; 61521002; 61531006; 61702296 funderid: 10.13039/501100001809 – fundername: National Program on Key Basic Research Project grantid: 2015CB352300 – fundername: Canada Research Chairs funderid: 10.13039/501100001804 – fundername: research fund of the Tsinghua-Tencent Joint Laboratory for Internet Innovation Technology – fundername: Young Elite Scientist Sponsorship Program – fundername: Natural Sciences and Engineering Research Council of Canada funderid: 10.13039/501100000038 – fundername: NSERC Strategic Grant program
GroupedDBID	-~X .DC 0R~ 29I 4.4 5GY 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACIWK AENEX AGQYO AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD F5P HZ~ IEDLZ IFIPE IPLJI JAVBF LAI M43 MS~ O9- OCL P2P PQQKQ RIA RIE RNS RXW TAE TN5 UHB AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D
ID	FETCH-LOGICAL-c293t-cf5e934d00da63b8dc5e0a344874b1352781a101e8807da9f102106b9d56a1f33
IEDL.DBID	RIE
ISICitedReferencesCount	856
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000466933000002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1041-4347
IngestDate	Sun Nov 09 07:37:58 EST 2025 Sat Nov 29 04:46:47 EST 2025 Tue Nov 18 22:33:19 EST 2025 Wed Aug 27 02:44:54 EDT 2025
IsPeerReviewed	true
IsScholarly	true
Issue	5
Language	English
License	https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c293t-cf5e934d00da63b8dc5e0a344874b1352781a101e8807da9f102106b9d56a1f33
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0003-2236-9290 0000-0003-2957-8511 0000-0002-2200-8711
PQID	2203400678
PQPubID	85438
PageCount	20
ParticipantIDs	ieee_primary_8392745 proquest_journals_2203400678 crossref_citationtrail_10_1109_TKDE_2018_2849727 crossref_primary_10_1109_TKDE_2018_2849727
PublicationCentury	2000
PublicationDate	2019-05-01
PublicationDateYYYYMMDD	2019-05-01
PublicationDate_xml	– month: 05 year: 2019 text: 2019-05-01 day: 01
PublicationDecade	2010
PublicationPlace	New York
PublicationPlace_xml	– name: New York
PublicationTitle	IEEE transactions on knowledge and data engineering
PublicationTitleAbbrev	TKDE
PublicationYear	2019
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References	ref57 ref13 ref56 ref12 fan (ref79) 2008; 9 ref58 huang (ref59) 2017 ref96 ref11 de choudhury (ref72) 2010; 10 ref54 ref10 ref17 ref16 ref19 ref18 leskovec (ref76) 2016 ref93 ref92 ref95 ref50 ref94 lü (ref82) 2011; 390 wang (ref4) 2017 ref46 ref89 ref45 ref48 ref47 ref86 ref41 he (ref32) 2004 ref88 ref44 laurens van der (ref90) 2008; 9 lecun (ref43) 2015; 521 man (ref22) 2016 ref49 sun (ref52) 2016 ref8 ref7 chen (ref40) 2017 ref3 cai (ref85) 2011; 33 ref6 pan (ref53) 2016; 11 tu (ref14) 2016 ref5 lim (ref91) 2016 ref81 ref83 chang (ref51) 2009 ref80 ref35 ref78 berline (ref31) 2003 ref34 ref37 levy (ref38) 2014 ref75 ref74 ref2 ref1 mikolov (ref24) 2013 mahoney (ref77) 2011 vincent (ref39) 2010; 11 cao (ref26) 2016 chung (ref55) 1997 ref71 yang (ref15) 2015 ref70 ref73 mikolov (ref65) 2010; 2 sun (ref60) 2011; 4 tian (ref87) 2014 ref68 ref67 ref23 fu (ref9) 2012 ref69 ref25 ref64 ref20 ref63 ref66 ref21 lee (ref36) 2001 niepert (ref42) 2016 ref28 ref29 yan (ref27) 2005; 2 mikolov (ref33) 2013 ref62 macqueen (ref84) 1967 ref61 belkin (ref30) 2002
References_xml	– ident: ref75 doi: 10.1145/1217299.1217301 – ident: ref1 doi: 10.1017/nws.2016.20 – ident: ref50 doi: 10.1109/ICDM.2014.119 – ident: ref83 doi: 10.1145/1117454.1117456 – ident: ref49 doi: 10.1109/5254.708428 – ident: ref45 doi: 10.1007/BF02289026 – start-page: 81 year: 2009 ident: ref51 article-title: Relational topic models for document networks publication-title: Proc Int Conf Artif Intell Statist – ident: ref35 doi: 10.1073/pnas.122653799 – ident: ref73 doi: 10.1145/1401890.1402008 – year: 2013 ident: ref33 article-title: Efficient estimation of word representations in vector space publication-title: ICLR Workshop Track – ident: ref93 doi: 10.1117/12.919823 – ident: ref29 doi: 10.1126/science.290.5500.2323 – year: 2016 ident: ref91 article-title: Bibliographic analysis with the citation network topic model publication-title: arXiv 1609 06826 – ident: ref19 doi: 10.1109/CVPR.2016.293 – ident: ref96 doi: 10.1103/PhysRevE.82.036106 – ident: ref5 doi: 10.1109/2945.841119 – ident: ref23 doi: 10.1145/3018661.3018735 – volume: 4 start-page: 992 year: 2011 ident: ref60 article-title: Pathsim: Meta path-based top-k similarity search in heterogeneous information networks publication-title: Proc VLDB Endowment doi: 10.14778/3402707.3402736 – ident: ref28 doi: 10.1126/science.290.5500.2319 – ident: ref8 doi: 10.1145/2939672.2939751 – ident: ref3 doi: 10.1145/2623330.2623732 – start-page: 585 year: 2002 ident: ref30 article-title: Laplacian eigenmaps and spectral techniques for embedding and clustering publication-title: Proc Adv Neural Inf Process Syst – ident: ref63 doi: 10.1145/2556195.2556216 – ident: ref69 doi: 10.1109/ICDM.2009.135 – ident: ref56 doi: 10.1137/1.9781611974973.71 – ident: ref74 doi: 10.1023/A:1009953814988 – year: 2012 ident: ref9 publication-title: Graph Embedding for Pattern Analysis – start-page: 281 year: 1967 ident: ref84 article-title: Some methods for classification and analysis of multivariate observations publication-title: Proc Berkeley Symp on Math Statist and Prob – start-page: 3111 year: 2013 ident: ref24 article-title: Distributed representations of words and phrases and their compositionality publication-title: Proc Adv Neural Inf Process Syst – start-page: 1293 year: 2014 ident: ref87 article-title: Learning deep representations for graph clustering publication-title: Proc AAAI – ident: ref20 doi: 10.1109/ICASSP.2017.7953246 – start-page: 556 year: 2001 ident: ref36 article-title: Algorithms for non-negative matrix factorization publication-title: Proc Adv Neural Inf Process Syst – ident: ref34 doi: 10.1145/2806416.2806512 – ident: ref86 doi: 10.1016/j.physa.2011.12.021 – ident: ref80 doi: 10.1145/1646396.1646452 – ident: ref44 doi: 10.1145/2783258.2783283 – year: 2011 ident: ref77 article-title: Large text compression benchmark – volume: 9 start-page: 1871 year: 2008 ident: ref79 article-title: Liblinear: A library for large linear classification publication-title: J Mach Learn Res – ident: ref37 doi: 10.1103/PhysRevE.74.036104 – ident: ref12 doi: 10.1037/h0046049 – ident: ref17 doi: 10.1093/bioinformatics/btu269 – ident: ref95 doi: 10.1145/2124295.2124382 – volume: 521 year: 2015 ident: ref43 article-title: Deep learning publication-title: Nature doi: 10.1038/nature14539 – ident: ref21 doi: 10.1109/ICDE.2016.7498256 – ident: ref10 doi: 10.1145/2736277.2741093 – year: 2017 ident: ref40 article-title: Fast, warped graph embedding: Unifying framework and one-click algorithm publication-title: arXiv preprint arXiv 1702 03041 – ident: ref57 doi: 10.1145/3038912.3052575 – volume: 11 year: 2016 ident: ref53 article-title: Tri-party deep network representation publication-title: Netw – volume: 33 start-page: 1548 year: 2011 ident: ref85 article-title: Graph regularized nonnegative matrix factorization for data representation publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2010.231 – ident: ref41 doi: 10.1145/2783258.2783417 – start-page: 2111 year: 2015 ident: ref15 article-title: Network representation learning with rich text information publication-title: Proc 24th Int Joint Conf Artif Intell – ident: ref78 doi: 10.1093/nar/gkm1001 – ident: ref25 doi: 10.1145/2939672.2939754 – ident: ref64 doi: 10.1162/neco.1997.9.8.1735 – year: 1997 ident: ref55 article-title: Spectral graph theory – start-page: 203 year: 2017 ident: ref4 article-title: Community preserving network embedding publication-title: Proc 31th AAAI Conf Artif Intell – start-page: 1823 year: 2016 ident: ref22 article-title: Predict anchor links across social networks via an embedding approach publication-title: Proc 25th Int Conf Artif Intell – volume: 11 start-page: 3371 year: 2010 ident: ref39 article-title: Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion publication-title: J Mach Learn Res – ident: ref92 doi: 10.1126/science.aad9029 – ident: ref18 doi: 10.1145/3038912.3052643 – ident: ref13 doi: 10.1137/1.9781611974973.37 – volume: 2 year: 2010 ident: ref65 article-title: Recurrent neural network based language model publication-title: InterSpeech doi: 10.21437/Interspeech.2010-343 – ident: ref67 doi: 10.1007/s10618-014-0365-y – ident: ref88 doi: 10.1145/2939672.2939815 – ident: ref7 doi: 10.1002/asi.20591 – ident: ref94 doi: 10.1007/978-3-319-25207-0_10 – ident: ref16 doi: 10.1145/2783258.2783296 – ident: ref46 doi: 10.1016/S0378-8733(03)00009-1 – year: 2017 ident: ref59 article-title: Heterogeneous information network embedding for meta path based proximity publication-title: arXiv 1701 05291 – ident: ref6 doi: 10.1145/2939672.2939753 – ident: ref71 doi: 10.1145/1645953.1646094 – year: 2016 ident: ref76 article-title: Snap datasets: Stanford large network dataset collection (2014) – start-page: 1145 year: 2016 ident: ref26 article-title: Deep neural networks for learning graph representations publication-title: Proc 30th AAAI Conf Artif Intell – volume: 2 start-page: 830 year: 2005 ident: ref27 article-title: Graph embedding: A general framework for dimensionality reduction publication-title: Proc IEEE Comput Soc Conf Comput Vision Pattern Recognit – ident: ref2 doi: 10.1609/aimag.v29i3.2157 – volume: 390 start-page: 1150 year: 2011 ident: ref82 article-title: Link prediction in complex networks: A survey publication-title: Physica A Statist Mech Appl doi: 10.1016/j.physa.2010.11.027 – volume: 9 start-page: 2579 year: 2008 ident: ref90 article-title: Visualizing data using t-sne publication-title: J Mach Learn Res – ident: ref81 doi: 10.1162/089976603321780317 – ident: ref62 doi: 10.1145/2503792.2503797 – start-page: 3889 year: 2016 ident: ref14 article-title: Max-margin deepwalk: Discriminative learning of network representation publication-title: Proc 25th Int Conf Artif Intell – year: 2003 ident: ref31 publication-title: Heat Kernels and Dirac Operators – ident: ref11 doi: 10.1145/2567948.2576940 – ident: ref70 doi: 10.1145/1557019.1557109 – ident: ref54 doi: 10.1145/3018661.3018667 – ident: ref61 doi: 10.1145/3018661.3018723 – year: 2016 ident: ref52 article-title: A general framework for content-enhanced network representation learning publication-title: arXiv 1610 02906 – ident: ref89 doi: 10.1145/1376616.1376746 – ident: ref48 doi: 10.1007/s00224-014-9558-4 – volume: 10 start-page: 34 year: 2010 ident: ref72 article-title: How does the data sampling strategy impact the discovery of information diffusion in social media? publication-title: ICWSM doi: 10.1609/icwsm.v4i1.14024 – ident: ref58 doi: 10.1145/2556195.2556225 – ident: ref47 doi: 10.1137/0718026 – ident: ref66 doi: 10.1109/72.80266 – ident: ref68 doi: 10.1086/421787 – start-page: 153 year: 2004 ident: ref32 article-title: Locality preserving projections publication-title: Proc Adv Neural Inf Process Syst – start-page: 2014 year: 2016 ident: ref42 article-title: Learning convolutional neural networks for graphs publication-title: Proc Int Conf Mach Learn – start-page: 2177 year: 2014 ident: ref38 article-title: Neural word embedding as implicit matrix factorization publication-title: Proc Adv Neural Inf Process Syst
SSID	ssj0008781
Score	2.713913
SecondaryResourceType	review_article
Snippet	Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure. Recently, a significant amount...
SourceID	proquest crossref ieee
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	833
SubjectTerms	Algorithms Computational complexity Data science Distributed databases Embedded systems Embedding graph embedding Image reconstruction Internet resources Machine learning Network analysis Network embedding Network topology Social network services Task analysis
Title	A Survey on Network Embedding
URI	https://ieeexplore.ieee.org/document/8392745 https://www.proquest.com/docview/2203400678
Volume	31
WOSCitedRecordID	wos000466933000002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1558-2191 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0008781 issn: 1041-4347 databaseCode: RIE dateStart: 19890101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFH5sw4MenG6K00168CR2S5e2aY5DNwRhCE7YrSTNCwjayX6B_71J2pWBInjrIWnLl773vde8vA_gJo4jqikqXyPRfmhiZF-qLPaTTArbkE5hpJ3YBJtOk_mcP9fgrjoLg4iu-Az79tLt5atFtrG_ygaWzFkY1aHOWFyc1aq8bsKcIKnJLkxORENW7mAGhA9mTw9jW8SV9I0v5swKyOxxkBNV-eGJHb1Mmv97sRM4LsNIb1Ss-ynUMG9BcyfR4JUW24KjvX6DbeiNvJfNcotf3iL3pkUBuDf-kKgsg53B62Q8u3_0S30EPzMkvfYzHSGnoSJEiZjKRGUREkFNwsVCGZjIykAijMmhsVGmBNdWxpvEkqsoFoGm9Bwa-SLHC_BkJAlyZIFQMtQma9AmbkwS8wSBUTgkHSA7xNKsbB5uNSzeU5dEEJ5akFMLclqC3IHbaspn0Tnjr8Fti2o1sAS0A93dsqSlba3S4ZDQ0LHs5e-zruDQ3JsXZYldaKyXG-zBQbZdv62W1-6z-QZ2KbzL
linkProvider	IEEE
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwED_mB6gPTjfF-dkHn8Ru2ZK0zaPohrJZBCf4VprmAoJ2sg_B_94k7YqgCL71ISHll9797prL_QDOg4BTTVH5Gon2mYmRfamywI8ymdqGdAq5dmITYRxHz8_ioQaX1V0YRHTFZ9i2j-4sX02yhf1V1rFkHjK-AmucsR4pbmtVfjcKnSSpyS9MVkRZWJ5hdonojIc3fVvGFbWNNxahlZD5xkJOVuWHL3YEM6j_79V2YLsMJL2rYud3oYZ5A-pLkQavtNkGbH3rONiEkyvvcTH9wE9vkntxUQLu9d8kKsthe_A06I-vb_1SIcHPDE3P_UxzFJQpQlQaUBmpjCNJqUm5Qia7JrYykKTG6NBYaahSoa2QNwmkUDxIu5rSfVjNJzkegCe5JCgw7KZKMm3yBm0ixygyK6TIDdgtIEvEkqxsH25VLF4Tl0YQkViQEwtyUoLcgotqynvRO-OvwU2LajWwBLQFx8ttSUrrmiW9HqHM8ezh77POYON2fD9KRnfx8Ag2zTqiKFI8htX5dIEnsJ59zF9m01P3CX0BeYTAEg
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Survey+on+Network+Embedding&rft.jtitle=IEEE+transactions+on+knowledge+and+data+engineering&rft.au=Cui%2C+Peng&rft.au=Wang%2C+Xiao&rft.au=Pei%2C+Jian&rft.au=Zhu%2C+Wenwu&rft.date=2019-05-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.issn=1041-4347&rft.eissn=1558-2191&rft.volume=31&rft.issue=5&rft.spage=833&rft_id=info:doi/10.1109%2FTKDE.2018.2849727&rft.externalDBID=NO_FULL_TEXT
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1041-4347&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1041-4347&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1041-4347&client=summon