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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Deac, A, Lackenby, M, Veličković, P
Format:	Conference item
Język:	English
Wydane:	Journal of Machine Learning Research 2022

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