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TimeCrunch: Interpretable Dynamic Graph Summarization., , , , и . KDD, стр. 1055-1064. ACM, (2015)Fast anomaly detection despite the duplicates., , , и . WWW (Companion Volume), стр. 195-196. International World Wide Web Conferences Steering Committee / ACM, (2013)Toward Understanding and Evaluating Structural Node Embeddings., , , и . ACM Trans. Knowl. Discov. Data, 16 (3): 58:1-58:32 (2022)Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices., , , , и . WWW, стр. 1538-1549. ACM, (2022)Events and Controversies: Influences of a Shocking News Event on Information Seeking., , и . WWW, стр. 614-624. ACM, (2015)A Closer Look At Scoring Functions And Generalization Prediction., , и . ICASSP, стр. 1-5. IEEE, (2023)The 3rd Workshop on Graph Learning Benchmarks (GLB 2023)., , , , , , , , и . KDD, стр. 5870-5871. ACM, (2023)Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks., , , , и . KDD, стр. 1223-1234. ACM, (2023)Bridging Network Embedding and Graph Summarization., , , , , и . CoRR, (2018)Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective., , и . CoRR, (2023)