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Yu Zheng

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Graph self-supervised learning: A survey
Towards Unsupervised Deep Graph Structure Learning
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning
Clustering Social Audiences in Business Information Networks
Query-oriented citation recommendation based on network correlation
Ensemble of multiple descriptors for automatic image annotation

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