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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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Stable Prediction via Leveraging Seed Variable

Jun 09, 2020
Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu


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Invariant Adversarial Learning for Distributional Robustness

Jun 08, 2020
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

* 11 pages 

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Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

Jun 08, 2020
Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu

* 11 pages plus 8 pages for appendices, 4 figures 

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Learning to Select Base Classes for Few-shot Classification

Apr 01, 2020
Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian


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A Semi-supervised Graph Attentive Network for Financial Fraud Detection

Feb 28, 2020
Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi

* icdm 

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Structural Deep Clustering Network

Feb 12, 2020
Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui

* Published at The Web Conference (WWW) 2020, full paper 

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Stable Prediction with Model Misspecification and Agnostic Distribution Shift

Jan 31, 2020
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li


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Deep Learning for Learning Graph Representations

Jan 02, 2020
Wenwu Zhu, Xin Wang, Peng Cui

* 51 pages, 8 figures 

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Rule-Guided Compositional Representation Learning on Knowledge Graphs

Dec 28, 2019
Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang

* The full version of a paper accepted to AAAI 2020 

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Stable Learning via Sample Reweighting

Nov 28, 2019
Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang

* Accepted as poster paper at AAAI2020 

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Learning Disentangled Representations for Recommendation

Oct 31, 2019
Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu

* To appear in the Proceedings of the Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019) 

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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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NICO: A Dataset Towards Non-I.I.D. Image Classification

Jul 01, 2019
Yue He, Zheyan Shen, Peng Cui


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