Search Results - Heterogeneous graph autoencoder

Hgae: Heterogeneous Graph Autoencoder-Based Service Bundle Recommendations for Efficient Mashup Development

Authors: Kaipu Sun Xuanye Wang Meng Xi et al.

Source: 2025 IEEE International Conference on Web Services (ICWS). :943-945

Reconstructing cell-cell interaction network in single-cell spatial transcriptomics via directed heterogeneous graph autoencoder

Authors: Jinxian, Hu

GIAE-DTI: Predicting Drug-Target Interactions Based on Heterogeneous Network and GIN-Based Graph Autoencoder.

Authors: Wang M Lei X Liu L et al.

Source: IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2025 Nov; Vol. 29 (11), pp. 7896-7909.

Publication Type: Journal Article

Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101604520 Publication Model: Print Cited Medium: Internet ISSN: 2168-2208 (Electronic) Linking ISSN: 21682194 NLM ISO Abbreviation: IEEE J Biomed Health Inform Subsets: MEDLINE

MeSH Terms: Deep Learning* , Computational Biology*/methods , Drug Discovery*/methods, Humans ; Drug Interactions ; Neural Networks, Computer ; Drug Repositioning/methods ; Algorithms ; Autoencoder

MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data.

Authors: Zhao J He J Guan P et al.

Source: Analytical chemistry [Anal Chem] 2025 Oct 28; Vol. 97 (42), pp. 23222-23233. Date of Electronic Publication: 2025 Oct 19.

Publication Type: Journal Article

Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-6882 (Electronic) Linking ISSN: 00032700 NLM ISO Abbreviation: Anal Chem Subsets: MEDLINE

MeSH Terms: Data Mining* , Deep Learning*, Humans ; Autoencoder

NodeHGAE: Node-oriented heterogeneous graph autoencoder

Authors: Xiangkai Zhu Chao Li Yeyu Yan et al.

Source: Information Sciences. 719:122448

IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder

Authors: Lin, Di Ren, Wanjing Li, Xuanbin et al.

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2506.06809

VHGAE: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Variational Autoencoder.

Authors: Zhang C Sun J Xing L et al.

Source: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2025 Aug 21. Date of Electronic Publication: 2025 Aug 21.

Publication Type: Journal Article

Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE

Accurate Protein-Protein Interaction Prediction: Based on Multiview Heterogeneous Graph Autoencoders and Random Masking.

Authors: Chen S Tang Z You L et al.

Source: IEEE transactions on neural networks and learning systems [IEEE Trans Neural Netw Learn Syst] 2025 Dec 02; Vol. PP. Date of Electronic Publication: 2025 Dec 02.

Publication Type: Journal Article

Journal Info: Publisher: Institute of Electrical and Electronics Engineeers Country of Publication: United States NLM ID: 101616214 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2162-2388 (Electronic) Linking ISSN: 2162237X NLM ISO Abbreviation: IEEE Trans Neural Netw Learn Syst Subsets: MEDLINE

MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder

Authors: Wang, Zhiyu Koszut, Sonia Liò, Pietro et al.

Subject Terms: Machine Learning, Artificial Intelligence

Access URL: http://arxiv.org/abs/2510.06880

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival

Authors: Pan, Liangrui Peng, Yijun Li, Yan et al.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2403.09290

Drug repositioning based on heterogeneous networks and variational graph autoencoders

Authors: Song Lei Xiujuan Lei Lian Liu

Source: Frontiers in Pharmacology, Vol 13 (2022)

Subject Terms: drug repositioning, heterogeneous network, variational graph autoencoders, graph representation learning, COVID-19, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2022.1056605/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/fdb6dc0397614c00926124e6b06993be

A one-step graph clustering method on heterogeneous graphs via variational graph embedding

Authors: Chuang Ma Helong Xia

Source: Electronic Research Archive, Vol 32, Iss 4, Pp 2772-2788 (2024)

Subject Terms: heterogeneous graph, graph cluster, variational graph autoencoder, graph neural network, Mathematics, QA1-939, Applied mathematics. Quantitative methods, T57-57.97

File Description: electronic resource

Relation: https://doaj.org/toc/2688-1594

Access URL: https://doaj.org/article/8d75186f49114cfc9fc0e5201f30ccc3

The Application of Lite-GRU Embedding and VAE-Augmented Heterogeneous Graph Attention Network in Friend Link Prediction for LBSNs

Authors: Ziteng Yang Boyu Li Yong Wang et al.

Source: Applied Sciences, Vol 15, Iss 8, p 4585 (2025)

Subject Terms: friend link prediction, gated recurrent unit, variational autoencoder, heterogeneous graph, attention mechanism, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/8/4585; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/2eb989966ab043eb9d25f61793e86c7c

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes

Authors: Zhao, Yige Yu, Jianxiang Cheng, Yao et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Social and Information Networks, text

URL: http://arxiv.org/abs/2311.07929

Variational Type Graph Autoencoder for Denoising on Event Recommendation.

Authors: Zhang, Shuo Meng, Xiangwu Zhang, Yujie

Source: ACM Transactions on Information Systems. Jan2025, Vol. 43 Issue 1, p1-27. 27p.

Subject Terms: *Artificial intelligence, Autoencoder, Latent variables, Signal denoising, Random graphs

Conditional Enhanced Variational Autoencoder-Heterogeneous Graph Attention Neural Network: A Novel Fault Diagnosis Method for Electric Rudders Based on Heterogeneous Information

Authors: Ximing Cao Ruifeng Yang Chenxia Guo et al.

Source: Sensors, Vol 24, Iss 1, p 272 (2024)

Subject Terms: fault diagnosis, graph data, electric rudder, prognostics and health management, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/1/272; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/952eea786f6b4ef7b43419d6e4d03662

GADTI: Graph Autoencoder Approach for DTI Prediction From Heterogeneous Network

Authors: Zhixian Liu Qingfeng Chen Wei Lan et al.

Source: Frontiers in Genetics, Vol 12 (2021)

Subject Terms: drug-target interaction prediction, network embedding, graph convolutional network, autoencoder, random walk, heterogeneous network, Genetics, QH426-470

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fgene.2021.650821/full; https://doaj.org/toc/1664-8021

Access URL: https://doaj.org/article/39beee12d91442b39220c6e6f618e83c

Heterogeneous Graph Masked Autoencoders

Authors: Tian, Yijun Dong, Kaiwen Zhang, Chunhui et al.

Index Terms: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2208.09957

GADTI: Graph Autoencoder Approach for DTI Prediction From Heterogeneous Network.

Authors: Liu, Z Chen, Q Lan, W et al.

Index Terms: 0604 Genetics, 1103 Clinical Sciences, 1801 Law, Journal Article

URL: http://hdl.handle.net/10453/155558
Front Genet
10.3389/fgene.2021.650821

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival.

Authors: Pan L Peng Y Li Y et al.

Source: Computers in biology and medicine [Comput Biol Med] 2024 Apr; Vol. 172, pp. 108301. Date of Electronic Publication: 2024 Mar 15.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

MeSH Terms: Quality of Life* , Neoplasms*/diagnostic imaging, Humans