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Heterogeneous graph neural network with semantic-aware differential privacy guarantees., , , , , , , and . Knowl. Inf. Syst., 65 (10): 4085-4110 (October 2023)Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization., , , , , , and . CoRR, (2023)ReGCL: Rethinking Message Passing in Graph Contrastive Learning., , , , , , and . AAAI, page 8544-8552. AAAI Press, (2024)Unbiased and Efficient Self-Supervised Incremental Contrastive Learning., , , , , , and . WSDM, page 922-930. ACM, (2023)A Robust and Generalized Framework for Adversarial Graph Embedding., , , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (11): 11004-11018 (November 2023)Graph Structure Learning with Variational Information Bottleneck., , , , , , and . CoRR, (2021)Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information., , , , , and . AAAI, page 4643-4651. AAAI Press, (2023)Graph Structure Learning with Variational Information Bottleneck., , , , , , and . AAAI, page 4165-4174. AAAI Press, (2022)Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding., , , , and . Pattern Recognit., (November 2023)AIC-GNN: Adversarial information completion for graph neural networks., , , , and . Inf. Sci., (May 2023)