Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks.
Sitao LuanMingde ZhaoXiao-Wen ChangDoina PrecupPublished in: COMPLEX NETWORKS (1) (2023)
Keyphrases
- convolutional neural networks
- training set
- directed graph
- higher order
- random walk
- connected components
- convolutional network
- graph theoretic
- graph representation
- training phase
- directed acyclic graph
- neural network
- graph partitioning
- training algorithm
- training process
- high order
- weighted graph
- graph model
- test set
- training examples
- artificial neural networks
- graph construction
- pairwise
- data sets