Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions.
Wei PengHancheng LiuWei DaiNing YuJianxin WangPublished in: Bioinform. (2022)
Keyphrases
- heterogeneous networks
- average degree
- neighborhood graph
- random walk
- neighborhood structure
- drug discovery
- graph theory
- packet switched
- social networks
- overlapping communities
- chemical compounds
- small world
- edge weights
- connected components
- parallel processing
- minimal spanning tree
- network properties
- depth first search
- network analysis
- graph representation
- graph structures
- directed graph
- graph construction
- structured data
- breast cancer
- complex networks
- degree distribution
- citation networks
- community discovery
- sparse coding
- random graphs
- bipartite graph
- graph structure
- weighted graph
- multiple types
- undirected graph
- graph model
- directed acyclic graph