cvignac Goto Github PK

anisotropic_filters_cartesian

Code for the paper "Learning anisotropic filters on product graphs"

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cvignac.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

digress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

graph_regression_template

A small model that performs graph regression on QM9

kernel_challenge

midi

MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation

ntds_2019

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

personal-website

Code that'll help you kickstart a personal website that showcases your work as a software developer.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

rdkit

The official sources for the RDKit library

ring-gnn

smp

top-n

Repository for "Top-N: Equivariant set and graph generation without exchangeability"