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Dynamic Network Embeddings: From Random Walks to Temporal Random Walks.

, , , , , and . BigData, page 1085-1092. IEEE, (2018)

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Role-Based Graph Embeddings., , , , , , and . IEEE Trans. Knowl. Data Eng., 34 (5): 2401-2415 (2022)Leveraging Graph Diffusion Models for Network Refinement Tasks., , , , , , , , , and . CoRR, (2023)Network Classification and Categorization., , , , , , , and . CoRR, (2017)On Sampling from Massive Graph Streams., , , and . Proc. VLDB Endow., 10 (11): 1430-1441 (2017)The Network Data Repository with Interactive Graph Analytics and Visualization., and . AAAI, page 4292-4293. AAAI Press, (2015)Augmenting Recurrent Graph Neural Networks with a Cache., , , and . KDD, page 1608-1619. ACM, (2023)Fast and Accurate Estimation of Typed Graphlets., , , and . WWW (Companion Volume), page 32-34. ACM / IW3C2, (2020)Time-based sampling of social network activity graphs., , , and . MLG@KDD, page 1-9. ACM, (2010)Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions., , , and . SDM, page 631-639. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..Graph sample and hold: a framework for big-graph analytics., , , and . KDD, page 1446-1455. ACM, (2014)