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Philip S. Yu

Cross-lingual COVID-19 Fake News Detection


Oct 13, 2021
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu

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* Accepted by SDM at ICDM, data is available at https://github.com/YingtongDou/CrossFake 
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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization


Oct 12, 2021
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu

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* EMNLP 2021 
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Deep Fraud Detection on Non-attributed Graph


Oct 04, 2021
Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu

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Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction


Sep 14, 2021
Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu

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* In EMNLP 2021 as a long paper. Code and data available at https://github.com/THU-BPM/GradLRE 
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Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation


Sep 07, 2021
Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu

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* Accepted by ICDM 2021 as a regular paper 
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DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN


Aug 26, 2021
Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu

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* Accepted by CIKM 2021 
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Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer


Aug 22, 2021
Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu

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* accepted by CIKM2021, with updated code in https://github.com/DyGRec/TGSRec 
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Contrastive Self-supervised Sequential Recommendation with Robust Augmentation


Aug 14, 2021
Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian McAuley, Caiming Xiong

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* Under-review. Work done during Zhiwei's intern at Salesforce. Inc 
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Deep Learning Schema-based Event Extraction: Literature Review and Current Trends


Jul 22, 2021
Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu

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Dual Adversarial Variational Embedding for Robust Recommendation


Jun 30, 2021
Qiaomin Yi, Ning Yang, Philip S. Yu

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From Canonical Correlation Analysis to Self-supervised Graph Neural Networks


Jun 23, 2021
Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu

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Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations


Jun 23, 2021
Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang

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Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation


Jun 11, 2021
Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang, Philip S. Yu

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Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection


Jun 08, 2021
Jian-Guo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu

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Sketch-Based Streaming Anomaly Detection in Dynamic Graphs


Jun 08, 2021
Siddharth Bhatia, Mohit Wadhwa, Philip S. Yu, Bryan Hooi

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Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation


Jun 06, 2021
Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu

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A Comprehensive Survey on Community Detection with Deep Learning


May 26, 2021
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu

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Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks


May 24, 2021
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He

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* Accept by IJCAI 2021 
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A Robust and Generalized Framework for Adversarial Graph Embedding


May 22, 2021
Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He

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Graph Learning based Recommender Systems: A Review


May 13, 2021
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu

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* Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718 
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Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities


May 07, 2021
Mehrnaz Najafi, Lifang He, Philip S. Yu

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Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer


May 02, 2021
Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu

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* Accepted by SIGIR 2021 
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User Preference-aware Fake News Detection


Apr 25, 2021
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun

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* Accepted by SIGIR'21. Code is available at https://github.com/safe-graph/GNN-FakeNews 
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Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks


Apr 16, 2021
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He

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* Accepted by IEEE TKDE. Code is available at https://github.com/RingBDStack/HAE 
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Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks


Apr 16, 2021
Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu

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* Under review. 43 pages. Code is available at https://github.com/safe-graph/RioGNN 
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