Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks.
Kishan KCRui LiFeng CuiAnne R. HaakePublished in: CoRR (2020)
Keyphrases
- higher order
- small world
- higher order relations
- dynamic networks
- unsupervised feature learning
- natural images
- average degree
- fully connected
- protein interaction
- pairwise
- citation networks
- graph theory
- complex networks
- social networks
- markov random field
- graph theoretic
- graphical representation
- edge weights
- biomedical literature
- bipartite graph
- graph layout
- high order
- network properties
- conditional random fields
- weighted graph
- network architecture
- graph mining
- molecular interactions
- convolutional neural networks
- lambda calculus
- social graphs
- overlapping communities
- network structure
- directed graph
- sparse coding
- power law
- graph representation