Sparse Deep Neural Network Graph Challenge.
Jeremy KepnerSimon AlfordVijay GadepallyMichael JonesLauren MilechinRyan A. RobinettSid SamsiPublished in: HPEC (2019)
Keyphrases
- neural network
- back propagation
- graph theory
- neural network model
- graph representation
- bipartite graph
- feed forward neural networks
- weighted graph
- gaussian graphical models
- graph model
- network model
- artificial neural networks
- connected components
- structured data
- sparse representation
- genetic algorithm
- pattern recognition
- high dimensional
- activation function
- graph mining
- directed acyclic graph
- neural nets
- graph matching
- graph theoretic
- directed graph
- directed acyclic
- sparse matrix
- graph construction
- deep learning
- compressive sensing
- sparse coding
- sparse data
- shortest path
- recurrent neural networks
- spanning tree
- network architecture
- bp neural network
- training algorithm