GNNs enable protein-protein interaction prediction — ARCADIA Knowledge Graph

Association·arcadia

GNNs enable protein-protein interaction prediction

GNN architectures are useful for predicting interactions between proteins.

Confidence
70%
active

Evidence Quote

“GNNs can be used to predict protein-protein interactions.”

Relationship

Graph Neural Networks (GNNs) enables Protein–protein interaction prediction

Arguments

Graph Neural Networks (GNNs)subject
Protein–protein interaction predictionobject

Connections (2)

CNNs are special cases of GCNsAssociation
Distinction between explanatory and predictive modeling in evolutionary inferenceInferenceChain

Evidence

“Reference to Scarselli F, Gori M, Ah Chung Tsoi, Hagenbuchner M, Monfardini G. (2009)”

(2009). The Graph Neural Network Model doi:10.1109/tnn.2008.2005605 ↗

“Reference to Xu M et al. (2024)”

Xu M et al. (2024). Graph Neural Networks for Protein-Protein Interactions -- A Short Survey doi:10.48550/ARXIV.2404.10450 ↗