Improving Graph Neural Networks with Learnable Propagation Operators.
Moshe EliasofLars RuthottoEran TreisterPublished in: ICML (2023)
Keyphrases
- neural network
- pattern recognition
- graph structure
- random walk
- graph theory
- graph matching
- artificial neural networks
- back propagation
- graph representation
- genetic algorithm
- information propagation
- graph model
- weighted graph
- directed graph
- fault diagnosis
- structured data
- feed forward
- neural nets
- bipartite graph
- training process
- graph theoretic
- fuzzy logic
- neural network model
- connected components
- multi layer
- fuzzy systems
- graph mining
- graph partitioning