Random Features Strengthen Graph Neural Networks.
Ryoma SatoMakoto YamadaHisashi KashimaPublished in: SDM (2021)
Keyphrases
- neural network
- artificial neural networks
- feature extraction
- graph theoretic
- image features
- feature vectors
- pattern recognition
- feature space
- weighted graph
- feature set
- benchmark datasets
- bipartite graph
- false positives
- video sequences
- complex structures
- graph theory
- structural information
- connected components
- spatial information
- random walk
- co occurrence
- fuzzy logic
- low level