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