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Shirui Pan
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Publications
- 2024
- [c140]Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan:
Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise. KDD 2024: 574-584 - [i125]Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang:
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. CoRR abs/2406.15523 (2024) - 2023
- [c118]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. KDD 2023: 1559-1571 - [c116]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan:
Towards Self-Interpretable Graph-Level Anomaly Detection. NeurIPS 2023 - [c110]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM 2023: 339-347 - [i110]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. CoRR abs/2305.18457 (2023) - [i83]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan:
Towards Self-Interpretable Graph-Level Anomaly Detection. CoRR abs/2310.16520 (2023) - 2022
- [i52]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. CoRR abs/2211.04208 (2022)
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