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Utilising energy function and variational inference training for learning a graph neural network architecture.
Gayathri Girish
Deepak Mishra
Subrahamanian Moosath K. S.
Published in:
Mach. Learn. (2024)
Keyphrases
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energy function
graph cuts
energy minimization
supervised learning
markov random field
belief propagation
prior knowledge
probabilistic model
graphical models
maximum likelihood
active contours
active contour model
hidden variables
variational methods
variational inference