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DGI: Easy and Efficient Inference for GNNs


Nov 28, 2022
Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang

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* 10 pages, 10 figures 

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A Representation Learning Framework for Property Graphs


Jun 27, 2022
Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang

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* This paper is published in KDD 2019. Code can be found here: https://github.com/yifan-h/PGE 

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Measuring and Improving the Use of Graph Information in Graph Neural Networks


Jun 27, 2022
Yifan Hou, Jian Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang

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* This paper has been published in ICLR 2020. Code and Dataset can be found here: https://github.com/yifan-h/CS-GNN 

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Efficient Private SCO for Heavy-Tailed Data via Clipping


Jun 27, 2022
Chenhan Jin, Kaiwen Zhou, Bo Han, James Cheng, Ming-Chang Yang

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Pareto Invariant Risk Minimization


Jun 15, 2022
Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng

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* A preprint version, 9 pages, 12 figures 

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Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack


Jun 15, 2022
Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng

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An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms


Apr 28, 2022
Binghui Xie, Chenhan Jin, Kaiwen Zhou, James Cheng, Wei Meng

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Understanding and Improving Graph Injection Attack by Promoting Unnoticeability


Feb 16, 2022
Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng

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* ICLR2022 

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Invariance Principle Meets Out-of-Distribution Generalization on Graphs


Feb 11, 2022
Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng

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* A preprint version 

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Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization


Sep 30, 2021
Kaiwen Zhou, Anthony Man-Cho So, James Cheng

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* 21 pages, 22 figures 

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