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TemporalGAT: Attention-Based Dynamic Graph Representation Learning

Learning representations for dynamic graphs is fundamental as it supports numerous graph analytic tasks such as dynamic link prediction, node classification, and visualization. Real-world dynamic graphs are continuously evolved where new nodes and edges are introduced or removed during graph evoluti...

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Bibliographic Details
Published in:Advances in Knowledge Discovery and Data Mining
Main Authors: Fathy, Ahmed, Li, Kan
Format: Artigo
Language:Inglês
Published: 2020
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7206228/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-47426-3_32
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