RAN-GNNs: breaking the capacity limits of graph neural networks.
Diego ValsesiaGiulia FracastoroEnrico MagliPublished in: CoRR (2021)
Keyphrases
- neural network
- artificial neural networks
- pattern recognition
- graph theory
- graph representation
- fuzzy logic
- structured data
- connected components
- graph model
- recurrent neural networks
- graphical representation
- graph theoretic
- graph based algorithm
- activation function
- network architecture
- graph structure
- stable set
- bipartite graph
- associative memory
- feed forward
- genetic algorithm
- graph matching
- graph mining
- radial basis function
- self organizing maps
- back propagation
- random walk
- np hard
- graph clustering
- dependency graph
- decision trees