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Learning to Drop: Robust Graph Neural Network via Topological Denoising

Nov 13, 2020
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang

* WSDM 2021 

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Parameterized Explainer for Graph Neural Network

Nov 09, 2020
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

* NeurIPS 2020 

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T$^2$-Net: A Semi-supervised Deep Model for Turbulence Forecasting

Oct 26, 2020
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong

* Accepted by ICDM 2020 

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E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce

Sep 10, 2020
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong


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Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection

Aug 31, 2020
Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang


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SIGL: Securing Software Installations Through Deep Graph Learning

Aug 26, 2020
Xueyuan Han, Xiao Yu, Thomas Pasquier, Ding Li, Junghwan Rhee, James Mickens, Margo Seltzer, Haifeng Chen

* 18 pages, to appear in the 30th USENIX Security Symposium (USENIX Security '21) 

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AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning

Jun 19, 2020
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu


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Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

May 25, 2020
Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen


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Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

Dec 18, 2019
Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo

* AAAI 2020 

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Heterogeneous Graph Matching Networks

Oct 17, 2019
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu


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Learning Robust Representations with Graph Denoising Policy Network

Oct 04, 2019
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen

* 10 pages 

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Adversarial Defense Framework for Graph Neural Network

May 10, 2019
Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu


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Deep Program Reidentification: A Graph Neural Network Solution

Dec 10, 2018
Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu


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A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Nov 20, 2018
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla


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A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Aug 14, 2017
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison Cottrell

* International Joint Conference on Artificial Intelligence (IJCAI), 2017 

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