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TimeCrunch: Interpretable Dynamic Graph Summarization., , , , and . KDD, page 1055-1064. ACM, (2015)Fast anomaly detection despite the duplicates., , , and . WWW (Companion Volume), page 195-196. International World Wide Web Conferences Steering Committee / ACM, (2013)Toward Understanding and Evaluating Structural Node Embeddings., , , and . ACM Trans. Knowl. Discov. Data, 16 (3): 58:1-58:32 (2022)Bridging Network Embedding and Graph Summarization., , , , , and . CoRR, (2018)Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective., , and . CoRR, (2023)t-PNE: Tensor-Based Predictable Node Embeddings., , , , and . ASONAM, page 491-494. IEEE Computer Society, (2018)Mining Persistent Activity in Continually Evolving Networks., , and . KDD, page 934-944. ACM, (2020)Coding Varied Behavior Types Using the Crowd., , , , , , , , , and . CSCW Companion, page 114-117. ACM, (2016)Events and Controversies: Influences of a Shocking News Event on Information Seeking., , and . WWW, page 614-624. ACM, (2015)Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices., , , , and . WWW, page 1538-1549. ACM, (2022)