SCV-GNN: Sparse Compressed Vector-Based Graph Neural Network Aggregation.
Nanda K. UnnikrishnanJoe GouldKeshab K. ParhiPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2023)
Keyphrases
- neural network
- sparse matrix
- gaussian graphical models
- vector representation
- random walk
- graph structure
- graph model
- directed graph
- data structure
- graph representation
- neural network model
- fuzzy logic
- back propagation
- pattern recognition
- directed acyclic
- high dimensional
- data compression
- data aggregation
- graph theory
- connected components
- sparse data
- weighted graph
- neural network is trained
- adjacency matrix
- recurrent neural networks
- feed forward
- semi supervised
- graphical models
- compressive sensing
- bipartite graph
- neural nets
- bp neural network
- vector space
- radial basis function