LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.
Rui XueHaoyu HanMohamadAli TorkamaniJian PeiXiaorui LiuPublished in: CoRR (2023)
Keyphrases
- neural network
- graph theory
- graph structure
- pattern recognition
- directed graph
- back propagation
- real world
- small scale
- bipartite graph
- artificial neural networks
- random walk
- fuzzy systems
- directed acyclic graph
- massive graphs
- information propagation
- feed forward
- graph theoretic
- graph representation
- multi layer perceptron
- genetic algorithm
- multi layer
- adjacency matrix
- random graphs
- graph partitioning
- spanning tree
- graph model
- image segmentation
- real life
- recurrent neural networks
- graph matching
- neural network model
- graphical models
- connected components
- structured data