Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation.
Jiajie SuChaochao ChenWeiming LiuFei WuXiaolin ZhengHaoming LyuPublished in: WWW (2023)
Keyphrases
- graph theoretic
- graph layout
- k means
- graph clustering
- graph partitioning
- clustering algorithm
- community discovery
- heterogeneous social networks
- recommender systems
- graph construction
- clustering method
- average degree
- social graphs
- similarity calculation
- self organizing maps
- tree shaped
- cluster analysis
- heterogeneous information networks
- graph representation
- graph model
- social networks
- fully connected
- edge weights
- random walk
- directed graph
- community detection
- user preferences
- densely connected
- complex networks
- data clustering
- hierarchical clustering
- similarity function
- collaborative filtering
- similarity matrix
- normalized cut
- bipartite graph
- recommendation systems
- small world
- graph structures
- graph theory
- network size
- spectral clustering
- biological networks
- weighted graph
- attack graph
- network analysis
- network structure
- hierarchical structure
- image segmentation
- graph mining