A Tiny Graph Neural Network for Inverse Graph Partitioning with Imbalance Constraints.
Yinning ShaoJingwei WangYukai ZhaoYunlong MaMin LiuPublished in: CASE (2023)
Keyphrases
- graph partitioning
- partitioning algorithm
- min cut
- graph model
- pairwise similarities
- weighted graph
- adjacency matrix
- clustering algorithm
- image segmentation
- spectral graph
- data clustering
- normalized cut
- spectral graph partitioning
- graph clustering
- minimum cut
- spectral clustering
- betweenness centrality
- superpixels
- data mining
- graph structure
- shape prior
- graph matching
- graph cuts
- supervised learning
- pairwise
- multiscale
- image processing
- feature selection