Incorporating multi-interest into recommendation with graph convolution networks.
Nan JiangZilin ZengJie WenJie ZhouZiyu LiuTao WanXimeng LiuHonglong ChenPublished in: Int. J. Intell. Syst. (2022)
Keyphrases
- heterogeneous social networks
- average degree
- community discovery
- directed graph
- recommender systems
- small world
- graph representation
- graph structure
- social graphs
- complex networks
- network structure
- highly connected
- directed edges
- dynamic networks
- graph structures
- heterogeneous networks
- image processing
- social networks
- random walk
- directed acyclic graph
- connected components
- graph theory
- graph theoretic
- collaborative filtering
- link formation
- social network analysis
- citation networks
- clustering coefficient
- network size
- edge weights
- diffusion process
- graph matching
- fully connected
- recommendation systems
- spanning tree