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...
| Hlavní autoři: | , , |
|---|---|
| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
Journal of Machine Learning Research
2022
|