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Fuli Feng
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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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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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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Neural Graph Collaborative Filtering

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

* SIGIR 2019 
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Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

Feb 20, 2019
Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua


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Explicit Interaction Model towards Text Classification

Nov 23, 2018
Cunxiao Du, Zhaozheng Chin, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie

* AAAI 2019 
 * 8 pages 
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Improving Stock Movement Prediction with Adversarial Training

Oct 13, 2018
Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua


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Discrete Factorization Machines for Fast Feature-based Recommendation

Sep 19, 2018
Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang

* Appeared in IJCAI 2018 
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Neural Compatibility Modeling with Attentive Knowledge Distillation

Apr 17, 2018
Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie


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