GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration.
Tong QiaoJianlei YangYingjie QiAo ZhouChen BaiBei YuWeisheng ZhaoChunming HuPublished in: CoRR (2024)
Keyphrases
- neural network
- training algorithm
- training process
- feedforward neural networks
- data driven
- weighted graph
- fully automatic
- feed forward neural networks
- graph structure
- graph representation
- directed graph
- pattern recognition
- back propagation
- decision support system
- random walk
- structured data
- bipartite graph
- recurrent neural networks
- recurrent networks
- test set
- graph theory
- training samples
- backpropagation algorithm
- directed acyclic graph
- graph model
- adaptive systems
- neural network structure
- graph theoretic
- error back propagation
- multi layer perceptron
- graph partitioning
- spanning tree
- graph mining
- multi layer
- neural nets
- training examples
- supervised learning
- training set
- social networks