Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks.
Phillip E. PopeSoheil KolouriMohammad RostamiCharles E. MartinHeiko HoffmannPublished in: CoRR (2018)
Keyphrases
- convolutional neural networks
- protein function prediction
- graph theory
- graph representation
- communities in social networks
- random walk
- structured data
- convolutional network
- three dimensional
- edge weights
- graph mining
- directed acyclic graph
- weighted graph
- graph structure
- molecular level
- graph model
- graph databases
- systems biology
- bipartite graph
- connected components
- data mining