Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance.
Steven TsanRaghav KansalAnthony AportelaDaniel DiazJavier M. DuarteSukanya KrishnaFarouk MokhtarJean-Roch VlimantMaurizio PieriniPublished in: CoRR (2021)
Keyphrases
- denoising
- distance matrix
- graph model
- objective function
- distance function
- graph structure
- structured data
- graph representation
- energy consumption
- graph matching
- neural network
- energy minimization
- weighted graph
- path length
- euclidean distance
- graph based algorithm
- graph theoretic
- distance transform
- graph databases
- hidden layer
- graph theory
- bipartite graph
- distance measure
- genetic algorithm