LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.
Rui XueHaoyu HanMohamadAli TorkamaniJian PeiXiaorui LiuPublished in: ICML (2023)
Keyphrases
- neural network
- pattern recognition
- small scale
- graph theory
- artificial neural networks
- random walk
- directed graph
- graph representation
- graph structure
- fault diagnosis
- back propagation
- graph model
- graph matching
- spanning tree
- graph theoretic
- global consistency
- graph based algorithm
- fuzzy logic
- neural nets
- connected components
- self organizing maps
- sufficient conditions
- fuzzy systems
- graph mining
- graph cuts
- graph partitioning
- activation function
- web graph
- training data
- web pages
- rule extraction
- genetic algorithm
- real world