Time-Varying Signals Recovery Via Graph Neural Networks.
Jhon A. Castro-CorreaJhony H. GiraldoAnindya MondalMohsen BadieyThierry BouwmansFragkiskos D. MalliarosPublished in: ICASSP (2023)
Keyphrases
- neural network
- global exponential stability
- graph theory
- signal processing
- graph structure
- random walk
- pattern recognition
- graph representation
- fuzzy logic
- structured data
- graph model
- image recovery
- graph theoretic
- directed graph
- feed forward
- activation function
- graph mining
- artificial neural networks
- weighted graph
- back propagation
- recurrent neural networks
- neural network model
- connected components
- sufficient conditions
- bipartite graph
- spanning tree
- neural nets
- learning rules
- associative memory
- edge weights
- graph data
- spectral analysis