Publications

Preprints

1. Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, and Suhang Wang. “A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.” Submitted to TIST [Paper]

Conference Paper

2022

1. Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang. “HP-GMN:Graph Memory Networks for Heterophilous Graphs” Accepted by The IEEE International Conference on Data Mining (ICDM 2022) [Paper] [Code]

2021

1. Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Hu. “Revisiting Time Series Outlier Detection: Definitions and Benchmarks” In Neural Information Processing Systems, Datasets and Benchmarks Track (NeurIPS 2021) [Paper] [Code]
2. Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Mingyang Wan, Diego Martinez, Xia Hu. “TODS: An Automated Time Series Outlier Detection System” In AAAI Conference on Artificial Intelligence, demo track (AAAI 2021) [Paper] [Code]