On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction.
Edward Elson KosasihJoaquín CabezasXavier SumbaPiotr BielakKamil TagowskiKelvin IdanwekhaiBenedict Aaron TjandraArian Rokkum JamasbPublished in: CoRR (2021)
Keyphrases
- neural network ensembles
- protein function prediction
- prediction accuracy
- prediction model
- graph theory
- real life
- graph matching
- small scale
- graph properties
- drug design
- random walk
- global consistency
- neural network
- directed graph
- graph model
- structured data
- three dimensional
- real world
- prediction algorithm
- massive graphs
- prediction error
- weighted graph
- graph structure
- bipartite graph
- connected components
- graph representation
- graph theoretic
- link analysis
- computational methods
- interaction networks