TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction.
Ling CaiBo YanGengchen MaiKrzysztof JanowiczRui ZhuPublished in: CoRR (2019)
Keyphrases
- link prediction
- link formation
- network analysis
- random walk
- bipartite graph
- graph mining
- social networks
- network structure
- biological networks
- complex networks
- social network analysis
- missing links
- heterogeneous networks
- social and information networks
- community detection
- bipartite networks
- real world networks
- social ties
- graph theory
- topological features
- community discovery
- multi relational
- factor graph model
- link structure
- graph kernels
- graph data
- small world
- functional modules
- information networks
- clustering coefficient
- protein interaction networks
- directed graph
- proximity measures
- collaborative filtering
- network topology
- network evolution
- entity resolution
- graph model
- markov chain
- heterogeneous information networks
- supervised learning