Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks.
Kishan KCRui LiFeng CuiAnne R. HaakePublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2022)
Keyphrases
- higher order
- high order
- small world
- higher order relations
- natural images
- average degree
- graph theory
- graph structure
- markov random field
- fully connected
- connected components
- directed graph
- graph representation
- degree distribution
- protein interaction
- social networks
- dynamic networks
- graph model
- complex networks
- conditional random fields
- interaction networks
- betweenness centrality
- graph layout
- edge weights
- power law
- protein protein interactions
- bipartite graph
- structured data
- text mining
- pairwise
- biomedical literature
- path length
- scale free
- functional modules
- network size
- graph theoretic
- community discovery
- spanning tree
- overlapping communities
- molecular interactions