A Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks.
Alex NowakSoledad VillarAfonso S. BandeiraJoan BrunaPublished in: CoRR (2017)
Keyphrases
- neural network
- learning algorithm
- back propagation
- pattern recognition
- graph representation
- graph theory
- artificial neural networks
- machine learning
- fuzzy logic
- supervised learning
- learning tasks
- feed forward
- machine learning algorithms
- directed graph
- active learning
- training data
- learning process
- graph theoretic
- random walk
- graph structure
- neural nets
- recurrent neural networks
- structured data
- semi supervised
- neural network model
- radial basis function
- learning problems
- weighted graph
- directed acyclic graph
- training algorithm
- graph model
- rbf network
- learning scheme
- graph partitioning
- social networks