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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

* 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

* 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

* 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

* 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

* 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

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

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HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization


Apr 12, 2021
Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu

* Accepted by NAACL-HLT 2021 

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Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs


Apr 06, 2021
Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu

* 9 pages, Accepted as a regular paper in AAAI Conference on Artificial Intelligence 2021 

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Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks


Apr 02, 2021
Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He

* Accepted by TKDD 2021. arXiv admin note: text overlap with arXiv:1906.04580 

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I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications


Mar 30, 2021
Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj P. Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, RV Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak


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An Introduction to Robust Graph Convolutional Networks


Mar 27, 2021
Mehrnaz Najafi, Philip S. Yu


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PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning


Mar 18, 2021
Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long


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BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism


Mar 10, 2021
Chang-Dong Wang, Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Ling Huang, Jian-Huang Lai, Philip S. Yu


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Graph Self-Supervised Learning: A Survey


Feb 27, 2021
Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu

* 8 pages, 2 figures, has been submitted to IJCAI 2021 Survey Track 

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Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs


Feb 13, 2021
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu

* This work has been accepted to The Web Conference 2021 

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