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Kai Shu
Publications
- 2023
- [i57]Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu:
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection. CoRR abs/2305.10668 (2023) - 2022
- [j12]Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu:
Cross-Domain Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2406-2415 (2022) - [c53]Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. IEEE Big Data 2022: 596-605 - [c49]Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu:
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS 2022 - [i42]Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu:
PyGOD: A Python Library for Graph Outlier Detection. CoRR abs/2204.12095 (2022) - [i38]Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu:
Benchmarking Node Outlier Detection on Graphs. CoRR abs/2206.10071 (2022) - [i34]Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. CoRR abs/2212.12621 (2022) - 2021
- [c45]Kai Shu, Yichuan Li, Kaize Ding, Huan Liu:
Fact-Enhanced Synthetic News Generation. AAAI 2021: 13825-13833 - 2020
- [j5]Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu:
Combating disinformation in a social media age. WIREs Data Mining Knowl. Discov. 10(6) (2020) - [c32]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM 2020: 295-304 - [c30]Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu:
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. CIKM (Workshops) 2020 - [i24]Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu:
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. CoRR abs/2005.13691 (2020) - [i23]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR abs/2006.12739 (2020) - [i22]Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu:
Combating Disinformation in a Social Media Age. CoRR abs/2007.07388 (2020) - [i15]Kai Shu, Yichuan Li, Kaize Ding, Huan Liu:
Fact-Enhanced Synthetic News Generation. CoRR abs/2012.04778 (2020)
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