GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction.
Jinyin ChenXueke WangXuanheng XuPublished in: Appl. Intell. (2022)
Keyphrases
- link prediction
- random walk
- bipartite graph
- graph mining
- link formation
- social networks
- social network analysis
- network structure
- complex networks
- network analysis
- recurrent neural networks
- graph kernels
- multi relational
- collective classification
- bipartite networks
- factor graph model
- link structure
- graph theory
- supervised learning
- social ties
- community detection
- heterogeneous networks
- collaborative filtering
- proximity measures
- directed graph
- biological networks
- missing links
- small world
- network topology
- topological features
- social network data
- real world networks
- entity resolution
- structured data
- social relationships
- machine learning
- neural network