HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation.
Han LiuYinwei WeiJianhua YinLiqiang NiePublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- heterogeneous social networks
- graph representation
- spatial information
- spatial and temporal
- average degree
- heterogeneous networks
- highly connected
- collaborative filtering
- random walk
- spatio temporal
- graph structures
- social networks
- graph model
- small world
- spatial data
- fully connected
- recommendation systems
- social graphs
- recommender systems
- distance measure
- community detection
- weighted graph
- graph structure
- graph theoretic
- network size
- bipartite graph
- structured data
- edge weights
- structural patterns
- graph layout
- deep learning
- path length
- power law
- complex networks
- network structure
- network architecture
- network analysis
- graph theory
- spatial relationships
- graph matching