Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks.
Zhongyuan ZhaoAnanthram SwamiSantiago SegarraPublished in: ICASSP (2022)
Keyphrases
- neural network
- meeting scheduling
- scheduling problem
- distributed environment
- lightweight
- scalable distributed
- structured data
- high scalability
- cooperative
- random walk
- pattern recognition
- graph structure
- scheduling algorithm
- data intensive
- neural network model
- graph representation
- graph databases
- graph model
- dynamic scheduling
- back propagation
- computational grids
- distributed systems
- multi agent
- round robin
- graph theoretic
- series parallel
- graph theory
- graph mining
- directed acyclic graph
- directed graph
- resource allocation
- peer to peer
- fuzzy logic
- genetic algorithm
- distributed computing
- graph partitioning
- graph matching
- real time database systems
- least squares
- strongly connected
- artificial neural networks
- commodity hardware