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Memory-based random walk for multi-query local community detection., , , , , and . Knowl. Inf. Syst., 62 (5): 2067-2101 (2020)Learning to Drop: Robust Graph Neural Network via Topological Denoising., , , , , , and . CoRR, (2020)Personalized Federated Learning via Heterogeneous Modular Networks., , , , , , , and . ICDM, page 1197-1202. IEEE, (2022)Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection., , , , , , , , and . SDM, page 91-99. SIAM, (2021)CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning., , , and . SpaceSec, The Internet Society, (2023)Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs., , , , and . IJCAI, page 3947-3953. ijcai.org, (2019)Towards Faithful and Consistent Explanations for Graph Neural Networks., , , and . WSDM, page 634-642. ACM, (2023)Constrained Local Graph Clustering by Colored Random Walk., , , , and . WWW, page 2137-2146. ACM, (2019)Integrating tonal information into Mandarin name recognition with different strategies., , and . ISCSLP, page 265-268. IEEE, (2004)Towards Inductive and Efficient Explanations for Graph Neural Networks., , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 46 (8): 5245-5259 (August 2024)