Search Results - Heterogeneous graph autoencoder*

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

Authors: Yige Zhao Jianxiang Yu Yao Cheng et al.

Source: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. :2067-2078

Subject Terms: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Social and Information Networks, Machine Learning (cs.LG)

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

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

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

Authors: Chen Zhang Jiaqi Sun Linlin Xing et al.

Source: Interdisciplinary Sciences: Computational Life Sciences.

A Multi-Task Financial Fraud Detection Framework Based on Deep Reinforcement Learning Heterogeneous Graph Neural Networks and Variational Autoencoders

Source: International Journal for Housing Science and Its Applications. 46

Deceptive reviewer group detection using self-adversarial variational autoencoder: a heterogeneous graph-based approach

Authors: Sushil Kumar Maurya Dinesh Singh

Source: Knowledge and Information Systems.

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

Authors: Jinxian, Hu

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

V-GMR: a variational autoencoder-based heterogeneous graph multi-behavior recommendation model

Authors: Haoqin Yang Ran Rang Linlin Xing et al.

Source: Applied Intelligence. 54:3337-3350

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

基于异构图自编码器的端到端聚类方法.

Alternate Title: An End-To-End Heterogeneous Graph Clustering Method.

Authors: 夏鹤珑 李弈霄

Source: Journal of Xihua University (Natural Science Edition). Nov2025, Vol. 44 Issue 6, p91-98. 8p.

Subject Terms: *CLUSTERING algorithms, *AUTOENCODERS, *DATA mining, *REPRESENTATIONS of graphs, *EMPIRICAL research, *MACHINE learning

Heterogeneous Graph Masked Autoencoders

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

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 37:9997-10005

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG)

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

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: T57-57.97, Applied mathematics. Quantitative methods, heterogeneous graph, graph cluster, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, graph neural network, 02 engineering and technology, variational graph autoencoder, Mathematics

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

Predicting potential microbe-disease associations based on heterogeneous graph attention network and deep sparse autoencoder

Authors: Bo Wang Wenlong Zhao Xiaoxin Du et al.

Source: Engineering Applications of Artificial Intelligence. 147:110301

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

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

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

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

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

Authors: Liangrui Pan Yijun Peng Yan Li et al.

Source: Computers in Biology and Medicine. 172:108301

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Neoplasms, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Quality of Life, Humans, Machine Learning (cs.LG), 3. Good health

Access URL: https://pubmed.ncbi.nlm.nih.gov/38492453
http://arxiv.org/abs/2403.09290