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Jingcan Duan

2 papers · 2023–2023 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze

Venues

AAAI (2)

Top co-authors

Yue Liu (2) Hu Jin (1) Pei Zhang (1) Zhibin Dong (1) Xinwang Liu (1) Liang Li (1) Cancan Chen (1) sihang zhou (1) Siwei Wang (1) Ke Liang (1)

Research topics

Deep Learning (2) Machine Learning (2) Core Methods (2) Learning Types · Machine Learning (2) Computer Vision (1) Analysis (1) Architectures (1) Learning Types · Deep Learning (1)

Keywords

contrastive learning (2) graph neural network (2) graph anomaly detection (1) hard sample mining (1) graph augmentation (1) multi-scale learning (1) negative sample (1) negative sampling (1) positive sample (1) subgraph embedding (1) multi-scale contrastive learning (1) contrastive deep graph clustering (1) subgraph-subgraph contrast (1) unsupervised learning (1) node-subgraph contrast (1) graph clustering (1)

Papers

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View AAAI 2023 Hard Sample Aware Network for Contrastive Deep Graph Clustering AAAI 2023