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PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels


Jun 14, 2021
Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang

* 16 pages, 3 figures 

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Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations


Jun 05, 2021
Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang


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Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge


May 26, 2021
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang

* Journal extension of GF-Attack. arXiv admin note: text overlap with arXiv:1908.01297 

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Recognizing Predictive Substructures with Subgraph Information Bottleneck


Mar 20, 2021
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He

* arXiv admin note: substantial text overlap with arXiv:2010.05563 

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Diversified Multiscale Graph Learning with Graph Self-Correction


Mar 17, 2021
Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang


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Deep Multimodal Fusion by Channel Exchanging


Nov 10, 2020
Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang

* NeurIPS 2020. Code and models: https://github.com/yikaiw/CEN 

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On Self-Distilling Graph Neural Network


Nov 04, 2020
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang


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Graph Information Bottleneck for Subgraph Recognition


Oct 12, 2020
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He


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Tackling Over-Smoothing for General Graph Convolutional Networks


Sep 08, 2020
Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang

* Submitted to TPAMI, 15 pages 

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Rethinking and Relieving Over-Smoothing in Deep GCNs


Aug 22, 2020
Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang

* 20 pages 

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Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?


Jul 12, 2020
Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang


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GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data


Jun 18, 2020
Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang

* 17 pages, 6 figures 

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Multi-View Graph Neural Networks for Molecular Property Prediction


Jun 12, 2020
Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang


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Dual Message Passing Neural Network for Molecular Property Prediction


May 29, 2020
Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang


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Spectral Graph Attention Network


Mar 16, 2020
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu


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Graph Representation Learning via Graphical Mutual Information Maximization


Feb 04, 2020
Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang


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Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks


Jan 17, 2020
Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang

* 8 pages, 4 figures, AAAI 2020 

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Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation


Oct 01, 2019
Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang

* 8 pages 

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DropEdge: Towards the Very Deep Graph Convolutional Networks for Node Classification


Sep 09, 2019
Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang

* 13 pages 

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A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models


Sep 06, 2019
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang


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The General Black-box Attack Method for Graph Neural Networks


Aug 07, 2019
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang


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The Truly Deep Graph Convolutional Networks for Node Classification


Jul 25, 2019
Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang

* 13 pages 

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Unsupervised Adversarial Graph Alignment with Graph Embedding


Jul 01, 2019
Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wenbing Huang, Xinghao Ding, Yue Huang, Junzhou Huang

* 10 pages, 4 figures 

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Progressive Feature Alignment for Unsupervised Domain Adaptation


Nov 21, 2018
Chaoqi Chen, Weiping Xie, Tingyang Xu, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang

* 10 pages, 5 figures 

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