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Towards Self-Explainable Graph Neural Network


Aug 26, 2021
Enyan Dai, Suhang Wang


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Jointly Attacking Graph Neural Network and its Explanations


Aug 07, 2021
Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu Aggarwal


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Graph Routing between Capsules


Jun 22, 2021
Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger

* Neural Network 2021 

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Labeled Data Generation with Inexact Supervision


Jun 08, 2021
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang


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NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs


Jun 08, 2021
Enyan Dai, Charu Aggarwal, Suhang Wang


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Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network


May 27, 2021
Yuqing Hu, Xiaoyuan Cheng, Suhang Wang, Jianli Chen, Tianxiang Zhao, Enyan Dai

* 22 pages, 10 figures, submitted to applied energy 

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You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features


May 01, 2021
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang


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Semi-Supervised Graph-to-Graph Translation


Mar 16, 2021
Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang

* Accepted by CIKM2020 

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GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks


Mar 16, 2021
Tianxiang Zhao, Xiang Zhang, Suhang Wang

* Accepted by WSDM2021 

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Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals


Nov 23, 2020
Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant Honavar


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MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models


Sep 27, 2020
Thai Le, Suhang Wang, Dongwon Lee

* Accepted at the 20th IEEE International Conference on Data Mining (ICDM 2020) 

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FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information


Sep 03, 2020
Enyan Dai, Suhang Wang


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Graph Convolutional Networks against Degree-Related Biases


Jun 28, 2020
Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu Aggarwal, Prasenjit Mitra, Suhang Wang

* Preprint, under review 

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Self-supervised Learning on Graphs: Deep Insights and New Direction


Jun 17, 2020
Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang


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Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps


Jun 15, 2020
Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang

* Accepted to KDD 2020 Applied Data Science Track 

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Graph Structure Learning for Robust Graph Neural Networks


May 21, 2020
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang

* Accepted by KDD 2020 

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Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository


Jan 27, 2020
Enyan Dai, Yiwei Sun, Suhang Wang


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Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements


Jan 02, 2020
Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu

* Submitted as an introductory chapter for the edited book on "Fake News, Disinformation, and Misinformation in Social Media- Emerging Research Challenges and Opportunities", Springer Press 

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Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values


Nov 22, 2019
Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu Aggarwal, Prasenjit Mitra, Suhang Wang

* Accepted by AAAI 2020 

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Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples


Nov 05, 2019
Thai Le, Suhang Wang, Dongwon Lee


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Graph Few-shot Learning via Knowledge Transfer


Oct 07, 2019
Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li

* Accepted by NeurIPS 2019 GRL workshop 

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Node Injection Attacks on Graphs via Reinforcement Learning


Sep 14, 2019
Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant Honavar

* Preprint, under review 

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Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning


Aug 20, 2019
Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang

* Preprint, under review 

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MEGAN: A Generative Adversarial Network for Multi-View Network Embedding


Aug 20, 2019
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant Honavar

* Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19 

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Attacking Graph Convolutional Networks via Rewiring


Jun 10, 2019
Yao Ma, Suhang Wang, Lingfei Wu, Jiliang Tang


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Graph Convolutional Networks with EigenPooling


May 18, 2019
Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang


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