To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks.
Varad KulkarniAkarsh ChaturvediPranjal NamanYogesh SimmhanPublished in: CCGridW (2023)
Keyphrases
- neural network
- training process
- directed graph
- training algorithm
- multi layer perceptron
- neural network training
- feed forward neural networks
- undirected graph
- distributed systems
- vertex set
- artificial neural networks
- random walk
- edge weights
- back propagation
- labeled graphs
- weighted graph
- feedforward neural networks
- backpropagation algorithm
- cooperative
- fuzzy logic
- pattern recognition
- graph structure
- multi agent
- attributed graphs
- training set
- distributed environment
- graph matching
- minimum weight
- graph theory
- strongly connected
- directed acyclic graph
- structured data
- graph representation
- recurrent networks
- hamiltonian cycle
- graph model
- bipartite graph
- training examples
- peer to peer
- genetic algorithm
- minimum spanning tree
- neural nets
- feed forward
- neural network model
- self organizing maps
- test set
- supervised learning
- neural network structure