Finding Hamiltonian Cycles with Graph Neural Networks.
Filip BosnicMile SikicPublished in: ISPA (2023)
Keyphrases
- neural network
- graph representation
- pattern recognition
- random walk
- graph structure
- directed graph
- genetic algorithm
- fuzzy logic
- artificial neural networks
- neural network model
- graph model
- neural nets
- graph theory
- weighted graph
- strongly connected
- spanning tree
- graph based algorithm
- graph databases
- maximum clique
- training process
- associative memory
- graph matching
- connected components
- np complete
- np hard
- similarity measure
- image segmentation