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SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments


Jun 17, 2022
Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, DengDeng Yu, Matthew Poon, Animesh Garg

* Neurips 2022 Preprint. Under review 

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CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation


Jun 08, 2022
Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua

* KDD 2022 
* 9 pages, 5 figures, 5 tables 

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Differentiable Invariant Causal Discovery


Jun 01, 2022
Yu Wang, An Zhang, Xiang Wang, Xiangnan He, Tat-Seng Chua

* 22 pages, 11 figures 

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Reinforced Causal Explainer for Graph Neural Networks


Apr 27, 2022
Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua

* IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 

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Deconfounding to Explanation Evaluation in Graph Neural Networks


Feb 01, 2022
Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua

* 18 pages 

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Discovering Invariant Rationales for Graph Neural Networks


Jan 30, 2022
Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua

* ICLR 2022 

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A-FMI: Learning Attributions from Deep Networks via Feature Map Importance


Apr 12, 2021
An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-seng Chua, Zehua Chen


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Disentangled Graph Collaborative Filtering


Jul 03, 2020
Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua

* SIGIR 2020 

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