Distributed and Parallel Sparse Computing for Very Large Graph Neural Networks.
Quentin R. PetitChong LiNahid EmadPublished in: Big Data (2022)
Keyphrases
- neural network
- distributed processing
- distributed systems
- depth first search
- pattern recognition
- genetic algorithm
- graph theory
- parallel processing
- parallel execution
- distributed environment
- gaussian graphical models
- back propagation
- graph model
- peer to peer
- master slave
- cooperative
- random walk
- directed acyclic graph
- load balance
- high dimensional
- multi agent
- parallel data mining
- graph theoretic
- compressive sensing
- parallel database systems
- directed acyclic
- homology generators
- bipartite graph
- feed forward
- directed graph
- artificial neural networks
- graph representation
- spanning tree
- multi layer
- neural nets
- fault tolerant
- multiple independent
- connected components
- fault diagnosis
- sufficient conditions
- knn