Pre-training graph neural networks for link prediction in biomedical networks.
Yahui LongMin WuYong LiuYuan FangChee Keong KwohJinmiao ChenJiawei LuoXiaoli LiPublished in: Bioinform. (2022)
Keyphrases
- link prediction
- link formation
- bipartite graph
- network analysis
- random walk
- social networks
- neural network
- graph mining
- network structure
- complex networks
- social network analysis
- biological networks
- missing links
- training process
- heterogeneous networks
- bipartite networks
- real world networks
- social and information networks
- community detection
- topological features
- supervised learning
- multi relational
- social ties
- factor graph model
- community discovery
- graph kernels
- graph theory
- link structure
- network evolution
- proximity measures
- small world
- decision trees
- directed graph
- community structure
- structural properties
- entity resolution
- information networks
- clustering coefficient
- heterogeneous information networks
- network topology
- back propagation
- graph data
- degree distribution
- training set
- training data