Higher-order Clustering and Pooling for Graph Neural Networks.
Alexandre DuvalFragkiskos D. MalliarosPublished in: CoRR (2022)
Keyphrases
- higher order
- neural network
- graph theoretic
- self organizing maps
- graph clustering
- clustering method
- graph partitioning
- clustering algorithm
- k means
- pairwise
- weighted graph
- graph theory
- spectral clustering
- directed graph
- high order
- hierarchical clustering
- pattern recognition
- graph construction
- natural images
- markov random field
- graph structure
- data points
- data clustering
- random walk
- spanning tree
- similarity matrix
- similarity graph
- normalized cut
- higher order relations
- graph representation
- lower order
- graph databases
- categorical data
- neural nets
- neural network model
- cluster analysis
- conditional random fields
- structured data
- back propagation
- fuzzy logic
- artificial neural networks
- genetic algorithm