RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations.
Camelia D. BrumarGabriel ApplebyJen RogersTeddy MatindeLara ThompsonRemco ChangAnamaria CrisanPublished in: CoRR (2023)
Keyphrases
- neural network
- recommender systems
- random walk
- pattern recognition
- graph theory
- graph representation
- back propagation
- graph model
- bipartite graph
- neural network model
- connected components
- self organizing maps
- user preferences
- graph theoretic
- graph construction
- graph search
- fuzzy logic
- graph structure
- weighted graph
- random graphs
- information visualization
- graph partitioning
- dependency graph
- graph matching
- feed forward
- artificial neural networks
- graph mining
- spanning tree
- directed acyclic graph
- recurrent neural networks
- directed graph
- shortest path
- collaborative filtering