[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
Federated learning on graph, especially on graph neural networks (GNNs),...
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Det...
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching ...
Code for "Graph Neural Network on Electronic Health Records for Predicti...
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators...
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structura...
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hi...
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps an...
An end-to-end blueprint architecture for real-time fraud detection(lever...
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural N...
A review of papers proposing novel GNN methods with application to brain...
30 Semi-Supervised Learning Algorithms
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional G...
Making self-supervised learning work on molecules by using their 3D geom...