Toward a universal foundation model for graph-structured data
Toward a universal foundation model for graph-structured data explores A universal foundation model for graph-structured data that learns transferable representations, outperforming supervised baselines in zero-shot and few-shot generalization for biomedical and network science applications.. Commercial viability score: 7/10 in Graph Foundation Models.
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