A Survey of Graph Neural Networks for Social Recommender Systems.
Kartik SharmaYeon-Chang LeeSivagami NambiAditya SalianShlok ShahSang-Wook KimSrijan KumarPublished in: ACM Comput. Surv. (2024)
Keyphrases
- recommender systems
- neural network
- collaborative filtering
- trust aware
- social graphs
- social networks
- pattern recognition
- rating prediction
- random walk
- social interaction
- genetic algorithm
- graph structure
- directed graph
- social media
- matrix factorization
- graph representation
- graph theoretic
- feed forward
- user modeling
- social context
- neural network model
- social networking
- fuzzy logic
- personal preferences
- cold start problem
- back propagation
- user profiles
- user generated
- graph databases
- graph model
- bipartite graph
- user preferences
- artificial neural networks
- graph kernels
- user profiling
- implicit feedback
- user generated content
- small world
- graph data
- social influence
- graph partitioning
- recommendation systems
- graph mining
- directed acyclic graph
- graph theory
- neural nets
- graph matching
- connected components
- knowledge sharing