Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks.
Alice GattiZhixiong HuTess E. SmidtEsmond G. NgPieter GhyselsPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- graph partitioning
- sparse matrix
- reinforcement learning
- weighted graph
- partitioning algorithm
- graph model
- rows and columns
- image segmentation
- clustering algorithm
- adjacency matrix
- min cut
- spectral clustering
- normalized cut
- spectral graph
- data clustering
- pattern recognition
- superpixels
- floating point
- k means
- learning algorithm
- machine learning
- data mining
- shortest path
- state space
- active learning
- pairwise