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A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection


May 23, 2022
Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, CHaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, GUangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao

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* Preprint; Work in progress. arXiv admin note: substantial text overlap with arXiv:2202.07114 

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Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift


Feb 15, 2022
Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang

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Robust Dynamic Network Embedding via Ensembles


May 30, 2021
Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang

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GloDyNE: Global Topology Preserving Dynamic Network Embedding


Aug 05, 2020
Chengbin Hou, Han Zhang, Shan He, Ke Tang

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* Major revision, TKDE 

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DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding


Jul 27, 2019
Chengbin Hou, Han Zhang, Ke Tang, Shan He

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* 14 pages, 7 figures, 5 tables 

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Learning Topological Representation for Networks via Hierarchical Sampling


Feb 15, 2019
Guoji Fu, Chengbin Hou, Xin Yao

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Attributed Network Embedding for Incomplete Structure Information


Nov 28, 2018
Chengbin Hou, Shan He, Ke Tang

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* 8 pages, 5 figures 

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