Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks.
Filip CornellJussi Karlgren AnimeshSarunas GirdzijauskasPublished in: IJCNN (2022)
Keyphrases
- convolutional neural networks
- gaussian graphical models
- graph theory
- graph representation
- high level
- convolutional network
- vector representation
- high dimensional
- graph theoretic
- graph model
- random walk
- structured data
- vector space
- graph structure
- sparse data
- feature vectors
- graph based algorithm
- basis vectors
- graph databases
- bipartite graph
- graph mining
- directed graph
- graph matching
- signal recovery
- point distribution
- directed acyclic graph
- weighted graph