Hybrid graph convolutional networks with multi-head attention for location recommendation.
Ting ZhongShengming ZhangFan ZhouKunpeng ZhangGoce TrajcevskiJin WuPublished in: World Wide Web (2020)
Keyphrases
- social networks
- heterogeneous social networks
- real time
- recommender systems
- edge weights
- overlapping communities
- small world
- location prediction
- graph structure
- dynamic networks
- fully connected
- location information
- graph structures
- average degree
- collaborative filtering
- access points
- community discovery
- social ties
- graph representation
- complex networks
- visual attention
- graph theory
- weighted graph
- network structure
- citation networks
- social graph
- directed graph
- protein interaction networks
- bipartite graph
- visual field
- heterogeneous networks
- network analysis
- graph theoretic
- social graphs
- graph databases
- wireless networks
- betweenness centrality
- structured data
- random walk
- densely connected
- directed acyclic graph
- neural network
- network size
- graphical representation
- biological networks
- community detection
- spanning tree
- location based services
- graph mining