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Jingcan Duan
2020 – today
- 2025
- [j2]Jingtao Hu
, Bin Xiao
, Hu Jin, Jingcan Duan
, Siwei Wang
, Zhao Lv
, Siqi Wang
, Xinwang Liu
, En Zhu
:
SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1664-1676 (2025) - 2024
- [j1]Jingcan Duan
, Bin Xiao
, Siwei Wang
, Haifang Zhou, Xinwang Liu
:
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18172-18185 (2024) - 2023
- [c3]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong
:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. AAAI 2023: 7459-7467 - [c2]Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen:
Hard Sample Aware Network for Contrastive Deep Graph Clustering. AAAI 2023: 8914-8922 - [c1]Jingcan Duan
, Pei Zhang
, Siwei Wang
, Jingtao Hu
, Hu Jin
, Jiaxin Zhang
, Haifang Zhou
, Xinwang Liu
:
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. ACM Multimedia 2023: 7502-7511 - [i4]Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang
, Haifang Zhou, Xinwang Liu:
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. CoRR abs/2309.06034 (2023) - 2022
- [i3]Jingcan Duan, Siwei Wang, Xinwang Liu, Haifang Zhou, Jingtao Hu, Hu Jin:
GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning. CoRR abs/2211.15255 (2022) - [i2]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong
:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. CoRR abs/2212.00535 (2022) - [i1]Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang
, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen:
Hard Sample Aware Network for Contrastive Deep Graph Clustering. CoRR abs/2212.08665 (2022)

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last updated on 2025-01-26 23:46 CET by the dblp team
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