Expander graph propagation

Expander graph propagation

Deploying graph neural networks (GNNs) on whole-graph classification or regression tasks is known to be challenging: it often requires computing node features that are mindful of both local interactions in their neighbourhood and the global context of the graph structure. GNN architectures that navi...

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Dades bibliogràfiques
Autors principals:	Deac, A, Lackenby, M, Veličković, P
Format:	Conference item
Idioma:	English
Publicat:	Journal of Machine Learning Research 2022

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