Learning Graph Algorithms With Recurrent Graph Neural Networks.
Florian GrötschlaJoël MathysRoger WattenhoferPublished in: CoRR (2022)
Keyphrases
- learning algorithm
- graph theory
- neural network
- learning process
- partitioning algorithm
- random walk
- graph layout
- graph search
- maximum flow
- directed graph
- connected components
- pattern recognition
- computational complexity
- depth first search
- noise tolerant
- graph data
- graph representation
- data structure
- learning models
- bipartite graph
- neural nets
- strongly connected
- active learning
- graph based algorithm
- structural learning
- graph properties
- planar graphs
- polynomial time complexity
- web graph
- maximum clique
- random graphs
- equivalence classes
- minimum spanning tree
- graph theoretic
- machine learning algorithms
- graph construction
- edge weights
- spanning tree
- learning tasks
- np complete
- supervised learning
- artificial neural networks
- training data
- genetic algorithm