Graph Attention Collaborative Similarity Embedding for Recommender System.
Jinbo SongChao ChangFei SunZhenyang ChenGuoyong HuPeng JiangPublished in: CoRR (2021)
Keyphrases
- recommender systems
- graph embedding
- collaborative filtering
- similarity measure
- similarity scores
- euclidean distance
- music recommendation
- random walk
- graph representation
- vector space
- directed graph
- spectral embedding
- similarity measurement
- connected components
- graph matching
- graph structure
- multidimensional scaling
- distance measure
- normalized cut
- similarity graph
- inexact graph matching
- similarity matrix
- maximum common subgraph
- graph partitioning
- graph model
- graph theory
- bipartite graph
- similarity function
- visual attention
- structured data
- user preferences
- similarity metric
- directed acyclic graph
- weighted graph
- graph laplacian
- cold start problem
- nodes of a graph