Suchergebnisse - "Heterogeneous graph neural network"

Heterogeneous Graph Neural Network Framework for Session-Based Cyberbullying Detection

Autoren: Munkhbuyan Buyankhishig Thanda Shwe Israel Mendonça et al.

Quelle: IEEE Access, Vol 13, Pp 110926-110940 (2025)

Schlagwörter: graph embedding, Cyberbullying detection, heterogeneous graph neural network, Electrical engineering. Electronics. Nuclear engineering, text embedding, TK1-9971

Zugangs-URL: https://doaj.org/article/1b66aca3e22e42e19c4dd608cbf6e000

WirelessNet: An Efficient Radio Access Network Model Based on Heterogeneous Graph Neural Networks

Autoren: José Perdomo M. A. Gutierrez-Estevez Chan Zhou et al.

Quelle: IEEE Access, Vol 13, Pp 36006-36023 (2025)

Schlagwörter: Wireless network modeling, heterogeneous graph neural network, deep learning, network digital twins, Electrical engineering. Electronics. Nuclear engineering, beyond 5G, TK1-9971

Zugangs-URL: https://doaj.org/article/372cae7d39d343eab659f1a83d7544ab

Text-to-SQL Method Based on Relation-aware Graph Neural Network

Autoren: CAO Yukun, WANG Tianhao, LI Yunfeng, CHEN Ming, LI Jingjing, LIU Yuanmin

Quelle: Jisuanji gongcheng, Vol 51, Iss 9, Pp 129-138 (2025)

Schlagwörter: semantic parse, pre-training model, heterogeneous graph neural network (hgnn), spatial gating unit, adapter, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-9-129.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/1227d534718c4697a5b4fbb9bd2f0402

A heterogeneous graph neural network assisted multi-agent reinforcement learning for parallel service function chain deployment

Autoren: Yintan Ai Hua Li Hongwei Ruan et al.

Quelle: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 8, Pp 1-22 (2025)

Schlagwörter: Multi-agent reinforcement learning, Heterogeneous graph neural network, Parallelized service function chain, Virtual network functions, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Zugangs-URL: https://doaj.org/article/a9c84009186e45038b08bff72fdc62dc

A multimodal deep fusion framework for highway traffic anomaly detection

Autoren: Mengmeng Duan Shaowei Sun Mingzhou Liu

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)

Schlagwörter: Multimodal deep fusion, Heterogeneous graph neural network, Traffic anomaly event, Dynamic detection, Static detection, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/4d983943bf214fdf93e6a19f280bbcf3

Improved Hypernymy Detection Algorithm Based on Heterogeneous Graph Neural Network

Autoren: Li Ren Jing Huang Hai-Tao Jia et al.

Quelle: International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-27 (2025)

Schlagwörter: Heterogeneous graph neural network, Hypernymy detection, Hierarchical structure construction, Semantic relation understanding, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1875-6883

Zugangs-URL: https://doaj.org/article/9a6e2adc651441a3bbc099d3155cc26c

Interpretable multi-instance heterogeneous graph network learning modelling CircRNA-drug sensitivity association prediction

Autoren: Mengting Niu Chunyu Wang Yaojia Chen et al.

Quelle: BMC Biology, Vol 23, Iss 1, Pp 1-12 (2025)

Schlagwörter: CircRNA‒drug sensitivity association, Multi-instance learning, Heterogeneous graph neural network, Interpretable analysis, Biology (General), QH301-705.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1741-7007

Zugangs-URL: https://doaj.org/article/4f8814b6818344cebec9d45ead8c2ab8

Network Slicing End-to-end Latency Prediction Based on Heterogeneous Graph Neural Network

Autoren: HU Haifeng, ZHU Yiwen, ZHAO Haitao

Quelle: Jisuanji kexue, Vol 52, Iss 3, Pp 349-358 (2025)

Schlagwörter: network slicing, heterogeneous graph neural network, latency prediction, deep regression, Computer software, QA76.75-76.765, Technology (General), T1-995

Dateibeschreibung: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-3-349.pdf; https://doaj.org/toc/1002-137X

Zugangs-URL: https://doaj.org/article/88c6a69b78744d66932376e28a40ae64

Dual-Channel Heterogeneous Graph Neural Network for Automatic Algorithm Recommendation

Autoren: Xiaoyu Zhang Yuxiang Sun Xianzhong Zhou

Quelle: Mathematics, Vol 13, Iss 22, p 3674 (2025)

Schlagwörter: algorithm recommendation, meta-learning, heterogeneous graph neural network, dual-channel, contrastive learning, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/22/3674; https://doaj.org/toc/2227-7390

Zugangs-URL: https://doaj.org/article/bee9f4c98c0a436c958e19b8513f637c

A heterogeneous graph neural network based entity relationship extraction method in automotive parts supply chain

Autoren: Li, Xiaobin Tang, Jianguo Jiang, Pei et al.

Quelle: Expert systems with applications. 293

Schlagwörter: Automotive parts supply chain, Feature fusion, Heterogeneous graph neural network, Joint Entity relation extraction

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-368765

Leveraging Heterogeneous Graph Neural Networks for Pressure Estimation in Water Distribution Networks

Autoren: Jian Wang Guangtao Fu Dragan Savic

Schlagwörter: Civil engineering not elsewhere classified, Pressure estimation, water distribution network, heterogeneous graph neural network

Relation: https://figshare.com/articles/conference_contribution/Leveraging_Heterogeneous_Graph_Neural_Networks_for_Pressure_Estimation_in_Water_Distribution_Networks/29921132

Verfügbarkeit: https://doi.org/10.15131/shef.data.29921132.v1
https://figshare.com/articles/conference_contribution/Leveraging_Heterogeneous_Graph_Neural_Networks_for_Pressure_Estimation_in_Water_Distribution_Networks/29921132

Enterprise Bankruptcy Prediction Model Based on Heterogeneous Graph Neural Network for Fusing External Features and Internal Attributes

Autoren: Xinke Du Jinfei Cao Xiyuan Jiang et al.

Quelle: Mathematics, Vol 13, Iss 17, p 2755 (2025)

Schlagwörter: enterprise bankruptcy prediction, heterogeneous graph neural network, Transformer attention mechanism, graph convolutional network, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/17/2755; https://doaj.org/toc/2227-7390

Zugangs-URL: https://doaj.org/article/4f2885de9f544b27bcecc73405fa3962

Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks

Autoren: Liu, Mengbing Huang, Chongwen Alhammadi, Ahmed et al.

Weitere Verfasser: Liu, Mengbing Huang, Chongwen Alhammadi, Ahmed et al.

Quelle: ISSN: 1536-1276 ; IEEE Transactions on Wireless Communications ; https://hal.science/hal-05378146 ; IEEE Transactions on Wireless Communications, 2025, 24 (9), pp.7940-7954. ⟨10.1109/TWC.2025.3563529⟩.

Schlagwörter: reconfigurable intelligent surfaces, heterogeneous graph neural network, Beamforming, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2504.14464; ARXIV: 2504.14464

Verfügbarkeit: https://hal.science/hal-05378146
https://hal.science/hal-05378146v1/document
https://hal.science/hal-05378146v1/file/2504.14464v1.pdf
https://doi.org/10.1109/TWC.2025.3563529

A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network

Autoren: Chongya Gong Tinghua Ai Shiyu Chen et al.

Quelle: ISPRS International Journal of Geo-Information ; Volume 14 ; Issue 2 ; Pages: 84

Schlagwörter: heterogeneous graph neural network, hybrid scene, similarity measurement, data-driven

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

Relation: https://dx.doi.org/10.3390/ijgi14020084

Verfügbarkeit: https://doi.org/10.3390/ijgi14020084

Integrating metro passenger flow data to improve the classification of urban functional regions using a heterogeneous graph neural network

Autoren: Pengxin Zhang Min Yang Yong Wang et al.

Quelle: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

Schlagwörter: classification, heterogeneous graph neural network, Urban functional region, Mathematical geography. Cartography, GA1-1776, crowd flow data

Zugangs-URL: https://doaj.org/article/128093f76ac74afe878a91960d4c1758

A Dynamic Regional-Aggregation-Based Heterogeneous Graph Neural Network for Traffic Prediction

Autoren: Xiangting Liu Chengyuan Qian Xueyang Zhao

Quelle: Mathematics, Vol 13, Iss 9, p 1458 (2025)

Schlagwörter: traffic flow prediction, dynamic heterogeneous graph neural network, regional aggregation, attention mechanism, spatiotemporal dependencies, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/9/1458; https://doaj.org/toc/2227-7390

Zugangs-URL: https://doaj.org/article/e17971687db7454fb4da787c4b4581f6

Recommendation Model Based on Higher-Order Semantics and Node Attention in Heterogeneous Graph Neural Networks

Autoren: Siyue Li Tian Jin Hao Luo et al.

Quelle: Mathematics, Vol 13, Iss 9, p 1479 (2025)

Schlagwörter: recommendation system, heterogeneous graph neural network, attention mechanism, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/9/1479; https://doaj.org/toc/2227-7390

Zugangs-URL: https://doaj.org/article/2a7ff2bc912e47e5ac74e77f0aa55831

Pre-training of Heterogeneous Graph Neural Networks for Multi-label Document Classification

Autoren: WU Jiawei, FANG Quan, HU Jun, QIAN Shengsheng

Quelle: Jisuanji kexue, Vol 51, Iss 1, Pp 143-149 (2024)

Schlagwörter: multi-label document classification, metadata, heterogeneous graph neural network, pre-training, long-tail distribution, Computer software, QA76.75-76.765, Technology (General), T1-995

Dateibeschreibung: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-1-143.pdf; https://doaj.org/toc/1002-137X

Zugangs-URL: https://doaj.org/article/845cf7b801a24878966f3b84bd9a6dfc

HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction

Autoren: Shiyang Liang Siwei Liu Junliang Song et al.

Quelle: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-13 (2023)

Schlagwörter: Heterogeneous graph neural network, Metapath, CircRNA, Disease, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1471-2105

Zugangs-URL: https://doaj.org/article/e5738881f73c416c849805ad06923bec

Improving multi-modal transportation recommendation systems through contrastive De-biased heterogenous graph neural networks

Autoren: Yan, Haoyang Liao, Yuan Ma, Zhenliang et al.

Quelle: Transportation Research, Part C: Emerging Technologies. 164

Schlagwörter: Recommendation system, Multi-modal Transportation, Heterogeneous graph neural network

Zugangs-URL: https://research.chalmers.se/publication/541737