Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks.
Suresh BishnoiRavinder Bhattoo JayadevaSayan RanuN. M. Anoop KrishnanPublished in: CoRR (2023)
Keyphrases
- neural network
- neural learning
- connectionist systems
- connectionist models
- graph structure
- random walk
- artificial neural networks
- pattern recognition
- symbolic knowledge
- fuzzy logic
- graph theory
- bipartite graph
- graph representation
- multi layer
- genetic algorithm
- multilayer perceptron
- back propagation
- directed graph
- connected components
- connectionist learning
- feed forward
- training process
- neural nets
- phase space
- structured data
- graph theoretic
- moving object trajectories
- symbolic description
- symbolic representation
- graph matching
- recurrent neural networks