wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction.
Marco GrassiaGiuseppe MangioniPublished in: COMPLEX NETWORKS (2021)
Keyphrases
- link prediction
- link formation
- bipartite graph
- complex networks
- random walk
- network analysis
- graph mining
- social networks
- network structure
- betweenness centrality
- edge weights
- biological networks
- social network analysis
- missing links
- community detection
- heterogeneous networks
- social and information networks
- bipartite networks
- real world networks
- community discovery
- social ties
- multi relational
- weighted graph
- small world
- graph theory
- graph kernels
- topological features
- proximity measures
- entity resolution
- graph model
- link structure
- network evolution
- scale free
- functional modules
- factor graph model
- directed graph
- information networks
- degree distribution
- network topology
- protein interaction networks
- online social networks
- network model
- clustering coefficient
- social relationships
- graph data
- network properties
- structured data
- collaborative filtering
- supervised learning
- semi supervised
- social media