Improving Graph Neural Network with Learnable Permutation Pooling.
Yu JinJoseph F. JáJáPublished in: ICDM (Workshops) (2022)
Keyphrases
- neural network
- back propagation
- random walk
- directed graph
- artificial neural networks
- structured data
- neural network is trained
- graph structure
- bipartite graph
- genetic algorithm
- graph representation
- weighted graph
- graph theory
- connected components
- recurrent neural networks
- neural nets
- fuzzy logic
- fault diagnosis
- pattern recognition
- training data
- bp neural network
- learning algorithm
- training algorithm
- graph model
- k means
- graph theoretic
- adjacency matrix
- scheduling problem