Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation.
Yaguang SongXiaoshan YangChangsheng XuPublished in: ACM Trans. Multim. Comput. Commun. Appl. (2023)
Keyphrases
- heterogeneous networks
- heterogeneous social networks
- average degree
- graph representation
- recommender systems
- directed edges
- community discovery
- path length
- connected components
- collaborative filtering
- dynamic networks
- highly connected
- graph mining
- fully connected
- graph structures
- graph theoretic
- small world
- network structure
- clustering coefficient
- network size
- social network analysis
- edge weights
- betweenness centrality
- random walk
- network analysis
- graph theory
- overlapping communities
- website
- structured data
- multiple types
- complex networks
- graph model
- weighted graph
- bipartite graph
- directed graph