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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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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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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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Continuous Submodular Function Maximization


Jun 24, 2020
Yatao Bian, Joachim M. Buhmann, Andreas Krause

* 64 pages 

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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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From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models


Jun 01, 2020
Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause


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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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Model Selection for Gaussian Process Regression by Approximation Set Coding


Oct 04, 2016
Benjamin Fischer, Nico Gorbach, Stefan Bauer, Yatao Bian, Joachim M. Buhmann


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