ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation.
Yannis KarmimElias RamziRaphaël Fournier-S'niehottaNicolas ThomePublished in: CoRR (2024)
Keyphrases
- message passing
- belief propagation
- probabilistic inference
- distributed systems
- markov random field
- user preferences
- shared memory
- personalized recommendation
- approximate inference
- collaborative filtering
- graphical models
- item recommendation
- recommender systems
- inference in graphical models
- graph cuts
- matrix multiplication
- factor graphs
- sum product algorithm
- distributed shared memory
- image processing
- recommendation algorithms
- query processing
- user ratings
- matrix factorization
- knapsack problem
- three dimensional
- computer vision