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07/11/2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks
The time evolution of physical systems is described by differential equa...
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11/10/2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
Recently, graph neural networks have been gaining a lot of attention to ...
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09/23/2022
Learning Rigid Body Dynamics with Lagrangian Graph Neural Network
Lagrangian and Hamiltonian neural networks (LNN and HNN respectively) en...
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09/22/2022
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems
Neural networks with physics based inductive biases such as Lagrangian n...
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09/03/2022
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks
Physical systems are commonly represented as a combination of particles,...
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10/07/2021