Factor·arcadia
Graph Neural Networks (GNNs)
Flexible neural network architectures capable of learning complex relationships in data via message passing, convolution, or attention, accommodating local and global relational biological data structures.
Confidence
90%
active
Source
Are GNNs optimal for evolutionary prediction?
Connections (14)
GNNs accommodate relational complexity in biological dataAssociation
GNNs enable prediction tasksAssociation
GNNs enable selective sweep detectionAssociation
GNNs infer introgression/horizontal gene flowAssociation
GNNs enable phylogenetic diversification parameter inferenceAssociation
GNNs enable trait imputation and ancestral state reconstructionAssociation
GNNs enable modeling of correlated trait evolutionAssociation
Simulation tools facilitate realistic GNN trainingAssociation
GNNs enable direct phylogenetic tree inferenceAssociation
GNNs enable protein-protein interaction predictionAssociation
GNNs enable orthology inferenceAssociation
Protein language models combined with GNNs improve gene predictionAssociation
GNNs enable hierarchical biological model constructionAssociation
RNNs are special cases of GNNsAssociation