Higher-order Sparse Convolutions in Graph Neural Networks.
Jhony H. GiraldoSajid JavedArif MahmoodFragkiskos D. MalliarosThierry BouwmansPublished in: CoRR (2023)
Keyphrases
- higher order
- neural network
- high order
- graph theory
- graph matching
- higher order relations
- gaussian graphical models
- pairwise
- random walk
- natural images
- pattern recognition
- artificial neural networks
- graph model
- genetic algorithm
- directed acyclic
- sparse data
- graph theoretic
- graph representation
- directed acyclic graph
- weighted graph
- graph structure
- high dimensional
- structured data
- back propagation
- undirected graph
- directed graph
- markov random field
- neural nets
- neural network model
- graph mining
- radial basis function
- graph partitioning
- fourier transform
- connected components
- compressive sensing
- adjacency matrix