Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics.
Raghav KansalJavier M. DuarteBreno OrzariThiago TomeiMaurizio PieriniMary TouranakouJean-Roch VlimantDimitrios GunopoulosPublished in: CoRR (2020)
Keyphrases
- data generation
- high energy physics
- densely connected
- scientific data
- active learning
- data streams
- generative model
- streaming data
- high throughput
- social networks
- network structure
- bitmap indices
- multi dimensional
- high dimensional
- learning process
- wireless sensor networks
- support vector machine
- databases
- data distribution
- complex networks
- co training
- reinforcement learning
- machine learning