MR-LGC: A Mobile Application Recommendation Based on Light Graph Convolution Networks.
Weishi ZhongBuqing CaoMi PengJianxun LiuZhenlian PengPublished in: ChineseCSCW (2) (2021)
Keyphrases
- mobile applications
- mobile devices
- mobile phone
- graph model
- fully connected
- m learning
- average degree
- random walk
- smart phones
- network analysis
- user experience
- mobile services
- mobile environments
- graph representation
- social networks
- graph structure
- mobile users
- medical images
- network structure
- context aware
- knowledge base
- graph structures
- magnetic resonance
- location based services
- structured data
- graph theory
- overlapping communities
- mr images
- citation networks
- case study
- clustering coefficient
- small world
- artificial intelligence
- community discovery
- graph layout
- biological networks
- edge weights
- image processing
- image registration
- weighted graph
- complex networks
- bipartite graph