Graph message passing generalizes biological inference — ARCADIA Knowledge Graph

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Graph message passing generalizes biological inference

GNNs' message passing algorithms generalize classical neural architectures, enabling the flexible modeling of relationships in complex, non-Euclidean biological data such as tree sequences and protein interaction graphs.

Confidence
75%
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Part of Chain

Graph neural network foundations enable inference in population genetics