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Empowering Language Understanding with Counterfactual Reasoning


Jun 06, 2021
Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

* Accepted by Findings of ACL'21 

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Deconfounded Video Moment Retrieval with Causal Intervention


Jun 03, 2021
Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua

* This work has been accepted by SIGIR 2021 

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TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance


Jun 01, 2021
Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua

* Accepted by ACL 2021 

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Deconfounded Recommendation for Alleviating Bias Amplification


May 22, 2021
Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua

* Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discoveryand Data Mining (KDD 2021) 

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Probabilistic and Variational Recommendation Denoising


May 20, 2021
Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon Jose, Fuli Feng

* 13 pages, 17 figures 

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Causal Intervention for Leveraging Popularity Bias in Recommendation


May 13, 2021
Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang

* Appear in SIGIR 2021 

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Structure-Enhanced Meta-Learning For Few-Shot Graph Classification


Mar 11, 2021
Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He

* Submitted to AI Open 

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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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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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