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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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Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method

Oct 22, 2020
Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua


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Self-supervised Graph Learning for Recommendation

Oct 21, 2020
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie

* 11 pages, 7 pages, 5 tables 

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CatGCN: Graph Convolutional Networks with Categorical Node Features

Sep 17, 2020
Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang


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Adversarial Attack on Large Scale Graph

Sep 08, 2020
Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng

* In submission to Journal, the codes are availiable at https://github.com/EdisonLeeeee/GraphAdv 

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A Survey on Large-scale Machine Learning

Aug 10, 2020
Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu


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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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Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning

Jun 23, 2020
Hande Dong, Zhaolin Ding, Xiangnan He, Fuli Feng, Shuxian Bi


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Modeling Personalized Item Frequency Information for Next-basket Recommendation

May 31, 2020
Haoji Hu, Xiangnan He, Jinyang Gao, Zhi-Li Zhang


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Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users

May 23, 2020
Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua

* 25 pages, 4 figures 

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Bundle Recommendation with Graph Convolutional Networks

May 07, 2020
Jianxin Chang, Chen Gao, Xiangnan He, Yong Li, Depeng Jin

* Accepted by SIGIR 2020 (Short) 

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Reinforced Negative Sampling over Knowledge Graph for Recommendation

Mar 12, 2020
Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua

* WWW 2020 oral presentation 

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A Survey of Adversarial Learning on Graphs

Mar 10, 2020
Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng

* 19 pages, 2 figures, 3 tables 

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Cross-GCN: Enhancing Graph Convolutional Network with $k$-Order Feature Interactions

Mar 05, 2020
Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

* Submitted to TKDE 

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Bilinear Graph Neural Network with Node Interactions

Feb 20, 2020
Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang


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Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network

Feb 20, 2020
Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang

* Accepted by ICDE 2020 

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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Feb 06, 2020
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang


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Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

Feb 04, 2020
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang


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Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation

Feb 02, 2020
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang


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Graph Convolution Machine for Context-aware Recommender System

Jan 30, 2020
Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang


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Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction

Nov 17, 2019
Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua

* 8 pages, 7 figures, Accepted by AAAI 2020 

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Improving Neural Relation Extraction with Implicit Mutual Relations

Jul 08, 2019
Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou

* 12 pages 

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Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

Jun 26, 2019
Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua

* TOIS Minor 

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Learning to Compose and Reason with Language Tree Structures for Visual Grounding

Jun 05, 2019
Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang

* Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 

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LambdaOpt: Learn to Regularize Recommender Models in Finer Levels

May 28, 2019
Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang

* Accepted by KDD 2019 

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Neural Graph Collaborative Filtering

May 20, 2019
Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua

* SIGIR 2019 

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KGAT: Knowledge Graph Attention Network for Recommendation

May 20, 2019
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua

* KDD 2019 research track 

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