EssentialGIN applies a modified graph isomorphism network to PPI networks with integrated biological node attributes to predict essential genes, outperforming centrality measures, Node2Vec, MLP, and GAT especially in human data.
DeepEP: a deep learning framework for identifying essential proteins,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks
EssentialGIN applies a modified graph isomorphism network to PPI networks with integrated biological node attributes to predict essential genes, outperforming centrality measures, Node2Vec, MLP, and GAT especially in human data.