DiP-GNN: Discriminative Pre-Training of Graph Neural Networks.
Simiao ZuoHaoming JiangQingyu YinXianfeng TangBing YinTuo ZhaoPublished in: CoRR (2022)
Keyphrases
- neural network
- training algorithm
- training process
- multi layer perceptron
- pattern recognition
- feedforward neural networks
- feed forward neural networks
- back propagation
- neural network training
- backpropagation algorithm
- bipartite graph
- error back propagation
- structured data
- feed forward
- artificial neural networks
- supervised learning
- semi supervised
- directed graph
- discriminative training
- random walk
- training set
- graph model
- fuzzy logic
- test set
- feature extraction
- radial basis function network
- graph theoretic
- graph representation
- training phase
- neural network model
- directed acyclic graph
- graph structure
- graph theory
- graph matching
- discriminative learning
- object recognition
- training examples
- genetic algorithm