Matching receptor to odorant with protein language and graph neural networks.
Matej HladisMaxence LalisSébastien FiorucciJérémie TopinPublished in: ICLR (2023)
Keyphrases
- neural network
- graph matching
- relational structures
- drug discovery
- pattern recognition
- matching algorithm
- maximum matching
- language learning
- programming language
- back propagation
- graph representation
- matching process
- maximum cardinality
- association graph
- natural language
- graph model
- protein interaction networks
- chemical compounds
- pattern matching
- artificial neural networks
- image matching
- protein interaction
- amino acids
- weighted graph
- graph theory
- signaling pathways
- protein sequences
- subgraph isomorphism
- protein function prediction
- attributed relational graph
- subcellular localization
- protein protein interactions
- directed acyclic graph
- random walk
- structured data
- bipartite graph
- protein structure
- keypoints
- genetic algorithm
- fuzzy logic
- feature points
- maximum weight
- neural network model
- shape matching
- functional modules
- protein structure prediction
- graph structure
- graph databases