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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Xehetasun bibliografikoak
Egile Nagusiak: Deac, A, Lackenby, M, Veličković, P
Formatua: Conference item
Hizkuntza:English
Argitaratua: Journal of Machine Learning Research 2022

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