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Learning Stochastic Graph Neural Networks With Constrained Variance
Zhan Gao
*
,
Elvin Isufi
*
Corresponding author for this work
Multimedia Computing
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peer-review
1
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13
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INIS
graphs
100%
neural networks
100%
learning
100%
stochastic processes
100%
performance
50%
optimization
25%
output
25%
power
12%
processing
12%
losses
12%
information
12%
architecture
12%
randomness
12%
errors
12%
data
12%
duality
12%
transformations
12%
computerized simulation
12%
algorithms
12%
iterative methods
12%
Computer Science
Graph Neural Network
100%
Primal-Dual
33%
Procedures
33%
Constrained Optimization
33%
Optimization Problem
33%
Processing Architecture
16%
Iterative Algorithm
16%
Transformations
16%
Gradient Descent
16%
Random Graphs
16%
Mathematics
Variance
100%
Random Graph
12%
Optimality
12%
Tradeoff
12%
Dual Variable
12%
Duality Gap
12%
Algorithm
12%
Chemical Engineering
Neural Network
100%
Constrained Optimization
33%