WalkGCN: a biased sampling strategy for GNNs on non-attributed graphs
Abstract Graph Neural Networks (GNNs) typically assume the presence of node attributes to capture interactions in a graph structure. However, real-world graph data often has incomplete or completely-missing attribute information. GNN approaches to dealing with incomplete attributes are widely implem...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
SpringerOpen
2025-09-01
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| Sraith: | Journal of Big Data |
| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.1186/s40537-025-01270-y |
| Clibeanna: |
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