Mean-field theory of graph neural networks in graph partitioning.
Tatsuro KawamotoMasashi TsubakiTomoyuki ObuchiPublished in: NeurIPS (2018)
Keyphrases
- graph partitioning
- neural network
- partitioning algorithm
- graph model
- weighted graph
- adjacency matrix
- normalized cut
- spectral graph partitioning
- spectral graph
- image segmentation
- min cut
- clustering algorithm
- minimum cut
- pairwise similarities
- spectral clustering
- data clustering
- superpixels
- markov random field
- probabilistic model
- graph clustering
- information retrieval
- graph structure
- betweenness centrality
- machine learning