Lorentzian Graph Convolution Networks for Collaborative Filtering.
Zihong ZhuWeiyu ZhangXinchao GuoXinxiao QiaoPublished in: IJCNN (2023)
Keyphrases
- collaborative filtering
- average degree
- edge weights
- graph structures
- recommender systems
- structured data
- graph theory
- dynamic networks
- graph theoretic
- graph representation
- graph mining
- bipartite graph
- matrix factorization
- user preferences
- graph structure
- random walk
- social networks
- fully connected
- directed edges
- citation networks
- overlapping communities
- highly connected
- personalized recommendation
- image processing
- network structure
- complex networks
- community structure
- graph layout
- connected components
- community discovery
- network size
- link prediction
- graph model
- heterogeneous networks
- weighted graph
- biological networks
- user ratings
- product recommendation
- directed graph
- degree distribution
- small world
- recommendation systems
- graphical representation