Improving Negative Sampling in Graph Neural Networks for Predicting Drug-Drug Interactions.
Alexandra-Ioana HerghelegiuHaiping LuPublished in: BIBM (2021)
Keyphrases
- neural network
- chemical compounds
- directed graph
- pattern recognition
- drug discovery
- graph structure
- genetic algorithm
- artificial neural networks
- clinical trials
- graph representation
- drug design
- sampling algorithm
- graph theoretic
- spanning tree
- graph databases
- graph model
- graph theory
- bipartite graph
- connected components
- fuzzy logic
- data mining