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...
| Auteurs principaux: | , , |
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| Format: | Conference item |
| Langue: | English |
| Publié: |
Journal of Machine Learning Research
2022
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