Higher-Order Sparse Convolutions in Graph Neural Networks.
Jhony H. GiraldoSajid JavedArif MahmoodFragkiskos D. MalliarosThierry BouwmansPublished in: ICASSP (2023)
Keyphrases
- higher order
- neural network
- high order
- pattern recognition
- pairwise
- gaussian graphical models
- fuzzy logic
- directed acyclic
- sparse data
- natural images
- graph model
- weighted graph
- graph theory
- graph matching
- higher order relations
- random walk
- genetic algorithm
- high dimensional
- graph representation
- conditional random fields
- graph structure
- directed graph
- associative memory
- structured data
- directed acyclic graph
- fault diagnosis
- markov random field
- graph partitioning
- signal recovery
- connected components
- graph based algorithm
- graph laplacian
- low order
- graphical models
- fourier transform
- graph databases
- multi layer
- sparse representation