Linear-Time Graph Neural Networks for Scalable Recommendations.
Jiahao ZhangRui XueWenqi FanXin XuQing LiJian PeiXiaorui LiuPublished in: CoRR (2024)
Keyphrases
- neural network
- pattern recognition
- random walk
- connected components
- directed graph
- recommender systems
- graph representation
- graph structure
- graph based algorithm
- graph theoretic
- graph theory
- back propagation
- self organizing maps
- neural network model
- graph model
- memory efficient
- dependency graph
- recurrent neural networks
- neural nets
- bipartite graph
- fault diagnosis
- undirected graph
- worst case
- fuzzy logic
- highly scalable
- personalized recommendation
- np hard