Physics Informed Sparse Identification of Nonlinear Dynamics

Material for workshop and autumn school on scientific machine learning 2023

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Graph Neural Network Library for PyTorch

A PyTorch implemetation of PointCNN (CS294-131 Course Proj)

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Laplace-Beltrami graph convolutional neural network