Causal Incremental Graph Convolution for Recommender System Retraining.
Sihao DingFuli FengXiangnan HeYong LiaoJun ShiYongdong ZhangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- recommender systems
- directed acyclic graph
- graph theory
- graph representation
- incremental learning
- collaborative filtering
- directed graph
- graph structure
- graph partitioning
- graph model
- graph matching
- structured data
- random walk
- weighted graph
- movie recommendation
- image processing
- information filtering
- personalized recommendation
- matrix factorization
- connected components
- user preferences
- graph mining
- fourier transform
- user profiles
- implicit feedback
- graph construction
- causal graph
- data mining
- convolution kernel