GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks.
Zemin LiuXingtong YuYuan FangXinming ZhangPublished in: WWW (2023)
Keyphrases
- neural network
- training process
- training algorithm
- backpropagation algorithm
- feedforward neural networks
- random walk
- error back propagation
- multi layer perceptron
- training set
- fuzzy logic
- back propagation
- genetic algorithm
- feed forward neural networks
- graph model
- graph structure
- fault diagnosis
- test set
- artificial neural networks
- pattern recognition
- graph matching
- supervised learning
- recurrent networks
- weighted graph
- training examples
- graph representation
- hidden markov models
- training patterns
- graph based algorithm
- clustering algorithm