Faster Optimization on Sparse Graphs via Neural Reparametrization.
Nima DehmamyCsaba BothJianzhi LongRose YuPublished in: CoRR (2022)
Keyphrases
- neural network
- high dimensional
- optimization problems
- network architecture
- data sets
- sparse representation
- joint optimization
- global optimization
- graph matching
- graph theoretic
- optimization model
- bio inspired
- gaussian graphical models
- faster convergence
- sparse data
- constrained optimization
- graph mining
- optimization process
- weighted graph
- graph theory
- graph clustering
- memory efficient
- bipartite graph
- combinatorial optimization
- sparse pca
- optimization algorithm