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NetSimile: A Scalable Approach to Size-Independent Network Similarity, , , and . CoRR, (2012)A Provable Framework of Learning Graph Embeddings via Summarization., , , , and . AAAI, page 4946-4953. AAAI Press, (2023)Neural Execution Engines: Learning to Execute Subroutines., , , , and . NeurIPS, (2020)Learning node embeddings via summary graphs: a brief theoretical analysis., , , , and . CoRR, (2022)Analyzing Data-Centric Properties for Contrastive Learning on Graphs., , , , and . CoRR, (2022)The Power of Summarization in Graph Mining and Learning: Smaller Data, Faster Methods, More Interpretability.. Proc. VLDB Endow., 14 (13): 3416 (2021)What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization., , , and . WWW, page 1115-1126. ACM / IW3C2, (2020)Leveraging the Graph Structure of Neural Network Training Dynamics., , , , and . CIKM, page 4545-4549. ACM, (2022)SpecGreedy: Unified Dense Subgraph Detection., , , , and . ECML/PKDD (1), volume 12457 of Lecture Notes in Computer Science, page 181-197. Springer, (2020)Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms., , , , , and . ECML/PKDD (2), volume 6912 of Lecture Notes in Computer Science, page 245-260. Springer, (2011)