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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |