A Potts model approach to unsupervised graph clustering with Graph Neural Networks.
Co TranMo BadawyTyler McDonnellPublished in: CoRR (2023)
Keyphrases
- graph clustering
- potts model
- max flow
- bipartite graph
- normalized cut
- weighted graph
- network analysis
- markov random field
- clustering method
- cellular automata
- spectral clustering
- graph partitioning
- community detection
- semi supervised
- adjacency matrix
- edge weights
- multi label
- link prediction
- supervised learning
- bayesian inference
- clustering algorithm
- directed graph
- unsupervised learning
- text mining
- k means
- feature space