Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark

In this work, we study the phenomenon of catastrophic forgetting in the graph representation learning scenario. The primary objective of the analysis is to understand whether classical continual learning techniques for flat and sequential data have a tangible impact on performances when applied to g...

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Detalles Bibliográficos
Autores principales: Carta, Antonio, Cossu, Andrea, Errica, Federico, Bacciu, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855050/
https://www.ncbi.nlm.nih.gov/pubmed/35187476
http://dx.doi.org/10.3389/frai.2022.824655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855050/
https://www.ncbi.nlm.nih.gov/pubmed/35187476
http://dx.doi.org/10.3389/frai.2022.824655

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