Implementation of learnable generalized geometric scattering transforms on graphs
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PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for...
Platform for designing and evaluating Graph Neural Networks (GNN)
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and...
Implementation of Scattering Compositional Learner in Pytorch
Semi-supervised Cycle-GAN for face photo-sketch translation in the wild, CVIU2023
[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Pe...
Minimal and easy-to-understand PyTorch implementations of popular Graph Neural Networks
This repository contains the code corresponding to the ICML-2020 publication: https://arxiv.org/a...
Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Atten...
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch ...
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch