SCV-GNN: Sparse Compressed Vector-based Graph Neural Network Aggregation.
Nanda K. UnnikrishnanJoe GouldKeshab K. ParhiPublished in: CoRR (2023)
Keyphrases
- neural network
- sparse matrix
- artificial neural networks
- vector representation
- random walk
- graph theory
- gaussian graphical models
- adjacency matrix
- graph representation
- pattern recognition
- sparse data
- data structure
- graph model
- weighted graph
- gradient vector
- high dimensional
- graph structure
- signal recovery
- genetic algorithm
- social networks
- similarity measure
- training algorithm
- neural network is trained
- directed acyclic
- graph partitioning
- network architecture
- graph mining
- fuzzy logic
- multi layer
- feed forward
- neural network model
- radial basis function
- directed graph
- vector space
- structured data
- back propagation
- feature vectors
- graphical models