Association·arcadia
GNNs enable trait imputation and ancestral state reconstruction
Claim that GNNs are well-suited for trait imputation and ancestral state reconstructions in phylogenies.
Confidence
80%
active
Evidence Quote
“GNNs may be uniquely well-suited to common tasks such as trait imputation and ancestral state reconstruction.”
Relationship
Graph Neural Networks (GNNs) enables Trait imputation
Connections (6)
GNNs as flexible models for evolutionary inference tasksInferenceChain
CNNs are special cases of GCNsAssociation
Distinction between explanatory and predictive modeling in evolutionary inferenceInferenceChain
Graph neural network foundations enable inference in population geneticsInferenceChain
Advances in phylogenetic-informed graph deep learning for dynamic evolutionary inferenceInferenceChain
Reasoning on phylogenetic modeling, trait simulation, and GNN utilityInferenceChain
Evidence
“Reference to Felsenstein J. (1985)”
“Reference to Morlon H. (2014)”
“Reference to Schluter D et al. (1997) on ancestral state likelihood methods in adaptive radiation.”
Schluter D et al. (1997). LIKELIHOOD OF ANCESTOR STATES IN ADAPTIVE RADIATION doi:10.1111/j.1558-5646.1997.tb05095.x ↗
“Reference to Revell L. (2024) on methods for ancestral state reconstruction of phenotypic traits.”
“Reference to Merkl R, Sterner R. (2016) on methods and applications of ancestral protein reconstruction.”
Merkl R & Sterner R (2016). Ancestral protein reconstruction: techniques and applications doi:10.1515/hsz-2015-0158 ↗
“Reference to Ree RH et al. (2005) describing a likelihood framework for inferring geographic range evolution.”
Ree RH et al. (2005). A LIKELIHOOD FRAMEWORK FOR INFERRING THE EVOLUTION OF GEOGRAPHIC RANGE ON PHYLOGENETIC TREES doi:10.1111/j.0014-3820.2005.tb00940.x ↗