Hypergraph Pre-training with Graph Neural Networks.
Boxin DuChanghe YuanRobert A. BartonTal NeimanHanghang TongPublished in: CoRR (2021)
Keyphrases
- neural network
- training process
- training algorithm
- hypergraph model
- fuzzy logic
- feed forward neural networks
- backpropagation algorithm
- training set
- higher order
- feedforward neural networks
- multi layer perceptron
- genetic algorithm
- error back propagation
- pattern recognition
- directed graph
- neural network structure
- graph theory
- adjacency matrix
- training examples
- graph representation
- high order
- graph mining
- training data
- neural network training
- vertex set
- supervised learning
- random walk
- training phase
- graph model
- test set
- multi layer
- graph structure
- neural nets
- graph matching
- feed forward
- connected components
- back propagation
- directed acyclic graph
- structured data
- bipartite graph