Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks.
Kai-Lang YaoWu-Jun LiPublished in: IJCAI (2021)
Keyphrases
- neural network
- small scale
- graph theory
- pattern recognition
- random walk
- graph model
- genetic algorithm
- directed acyclic graph
- graph representation
- monte carlo
- graph mining
- multi layer
- random sampling
- graph structure
- bipartite graph
- neural network model
- directed graph
- structured data
- back propagation
- sampling algorithm
- nearest neighbor
- fuzzy logic
- graph partitioning
- neural nets
- activation function
- sampling methods
- graph clustering
- graph databases
- complex networks
- self organizing maps
- fault diagnosis
- markov random field
- artificial neural networks
- real world