Code for our paper on doing resource allocation with graph neural networks
APACHE-2.0 License
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A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training an...
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Emb...
A PyTorch Graph Neural Network Library
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lig...
[CVPR2020] Adversarial Latent Autoencoders
An unofficial styleguide and best practices summary for PyTorch
TPAMI 2022
Exploration of Self-Semi-Supervised learning for handling unlabeled data
Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Ma...
The author's officially unofficial PyTorch BigGAN implementation.
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"