Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects.
Aneesh BalakrishnanThomas LangeMaximilien GlorieuxDan AlexandrescuMaksim JenihhinPublished in: MECO (2020)
Keyphrases
- graph theory
- neural network
- graph theoretic
- graph theoretical
- social network analysis
- computer vision and pattern recognition
- complex networks
- minimum spanning tree
- graph based representations
- fuzzy logic
- genetic algorithm
- graph representations
- pattern recognition
- network analysis
- error rate
- maximal cliques
- automata theory
- social networks
- artificial neural networks
- protein structure prediction
- pairwise
- clustering coefficient
- computational complexity
- document similarity