CPGCN: Collaborative Property-aware Graph Convolutional Networks for Service Recommendation.
Hao GeQianmu LiShunmei MengJun HouPublished in: SCC (2022)
Keyphrases
- heterogeneous social networks
- service providers
- graph theoretic
- graph theory
- collaborative filtering
- average degree
- web services
- graph properties
- fully connected
- small world
- recommender systems
- social networks
- graph structure
- random walk
- global consistency
- network resources
- structured data
- service oriented
- betweenness centrality
- graph structures
- access points
- edge weights
- complex networks
- recommendation systems
- graph model
- network analysis
- social network analysis
- directed edges
- graph layout
- collaborative learning
- overlapping communities
- degree distribution
- traffic engineering
- social graph
- graph representation
- service quality
- personalized services
- network size
- multimedia services
- community discovery
- protein interaction networks
- deep learning
- random graphs
- graph databases
- spanning tree
- heterogeneous networks
- bipartite graph
- mashup
- connected components