Local Augmentation for Graph Neural Networks.
Songtao LiuRex YingHanze DongLanqing LiTingyang XuYu RongPeilin ZhaoJunzhou HuangDinghao WuPublished in: ICML (2022)
Keyphrases
- neural network
- random walk
- pattern recognition
- graph theory
- graph structure
- graph matching
- structured data
- bipartite graph
- graph representation
- graph theoretic
- recurrent neural networks
- multilayer perceptron
- dependency graph
- directed graph
- planar graphs
- back propagation
- fuzzy logic
- artificial neural networks
- graph based algorithm
- graph model
- graph partitioning
- random graphs
- weighted graph
- neural network model
- graph mining
- directed acyclic graph
- training process
- fuzzy systems
- rule extraction
- feed forward
- self organizing maps
- machine learning