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...

書誌詳細
主要な著者:	Deac, A, Lackenby, M, Veličković, P
フォーマット:	Conference item
言語:	English
出版事項:	Journal of Machine Learning Research 2022

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