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Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?


Dec 23, 2021
Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu

* 11 pages 

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Generalizing Graph Neural Networks on Out-Of-Distribution Graphs


Nov 23, 2021
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang

* Under review 

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Why Stable Learning Works? A Theory of Covariate Shift Generalization


Nov 03, 2021
Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang

* 25 pages 

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Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation


Nov 03, 2021
Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu

* Accepted by CIKM21 

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Kernelized Heterogeneous Risk Minimization


Oct 24, 2021
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia. arXiv admin note: text overlap with arXiv:2105.03818 

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ListReader: Extracting List-form Answers for Opinion Questions


Oct 22, 2021
Peng Cui, Dongyao Hu, Le Hu


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Topic-Guided Abstractive Multi-Document Summarization


Oct 21, 2021
Peng Cui, Le Hu

* accepted at findings of EMNLP 2021 

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Towards Out-Of-Distribution Generalization: A Survey


Aug 31, 2021
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui


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Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization


Jul 13, 2021
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu


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Context-Aware Attention-Based Data Augmentation for POI Recommendation


Jun 30, 2021
Yang Li, Yadan Luo, Zheng Zhang, Shazia W. Sadiq, Peng Cui

* 35th IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2019, Macao, China, April 8-12, 2019 

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Distributionally Robust Learning with Stable Adversarial Training


Jun 30, 2021
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li

* arXiv admin note: substantial text overlap with arXiv:2006.04414 

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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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Heterogeneous Risk Minimization


May 09, 2021
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

* Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021. (ICML2021) 

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Deep Stable Learning for Out-Of-Distribution Generalization


Apr 16, 2021
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen


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Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation


Apr 11, 2021
Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui

* 9 pages, 4 figures, to be published in Proceedings of the AAAI Conference on Artificial Intelligence 2021 

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Accurate and Reliable Forecasting using Stochastic Differential Equations


Mar 28, 2021
Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu


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Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network


Feb 07, 2021
Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin

* 11 pages, under review 

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Interpreting and Unifying Graph Neural Networks with An Optimization Framework


Jan 28, 2021
Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui

* WWW2021, 12 pages 

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On the Equivalence of Decoupled Graph Convolution Network and Label Propagation


Oct 23, 2020
Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui


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Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching


Oct 15, 2020
Peng Cui, Le Hu, Yuanchao Liu


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Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks


Oct 13, 2020
Peng Cui, Le Hu, Yuanchao Liu

* Accepted by COLING(2020) 

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A Simple and General Graph Neural Network with Stochastic Message Passing


Sep 05, 2020
Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu

* 17 pages 

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Adversarial Eigen Attack on Black-Box Models


Aug 27, 2020
Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang


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Algorithmic Decision Making with Conditional Fairness


Jul 14, 2020
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui

* 11 pages, to appear in KDD 2020 proceedings 

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AM-GCN: Adaptive Multi-channel Graph Convolutional Networks


Jul 11, 2020
Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei

* 11 pages, KDD2020 

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Calibrated Reliable Regression using Maximum Mean Discrepancy


Jun 18, 2020
Peng Cui, Wenbo Hu, Jun Zhu


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