Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation.
Zhiyong ChengJianhua DongFan LiuLei ZhuXun YangMeng WangPublished in: CoRR (2024)
Keyphrases
- heterogeneous social networks
- recommender systems
- average degree
- random walk
- complex networks
- social networks
- small world
- edge weights
- dynamic networks
- highly connected
- graph structure
- graph structures
- community discovery
- structural patterns
- graph theory
- bipartite graph
- connected components
- collaborative filtering
- directed graph
- weighted graph
- network analysis
- graph matching
- image processing
- graph layout
- graph representation
- graph theoretic
- graph mining algorithms
- protein interaction networks
- network size
- search engine
- directed edges
- overlapping communities
- social graphs
- scale free
- heterogeneous networks
- power law
- undirected graph
- spanning tree
- graph databases
- graph mining
- directed acyclic graph
- online social networks
- network structure
- structured data
- wireless networks
- user preferences
- website