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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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| Publicado no: | Advances in Knowledge Discovery and Data Mining |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | 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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