Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.
Ke TuPeng CuiDaixin WangZhiqiang ZhangJun ZhouYuan QiWenwu ZhuPublished in: CIKM (2021)
Keyphrases
- graph structures
- graph theory
- average degree
- dynamic networks
- graph representation
- directed graph
- graph structure
- graph matching
- weighted graph
- small world
- real world graphs
- highly connected
- graph databases
- fully connected
- graph layout
- graph theoretic
- graph model
- graph mining
- random graphs
- graph clustering
- graph theoretical
- edge weights
- connected components
- social networks
- graph search
- graph partitioning
- social graphs
- subgraph isomorphism
- recommender systems
- degree distribution
- structural patterns
- betweenness centrality
- graph kernels
- graph properties
- labeled graphs
- graphical structure
- series parallel
- power law
- undirected graph
- knowledge base
- community discovery
- graph construction
- graph patterns
- graph data
- graph isomorphism
- network analysis
- bipartite graph
- dynamic graph