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Autor:
Besta, Maciej, Catarino, Afonso Claudino, Gianinazzi, Lukas, Blach, Nils, Nyczyk, Piotr, Niewiadomski, Hubert, Hoefler, Torsten
Publikováno v:
Proceedings of Learning on Graphs (LOG), 2023
Many graph representation learning (GRL) problems are dynamic, with millions of edges added or removed per second. A fundamental workload in this setting is dynamic link prediction: using a history of graph updates to predict whether a given pair of
Externí odkaz:
http://arxiv.org/abs/2311.18526