danielzuegner

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

netgan

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

code-transformer

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

robust-gcn

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

robust-gcn-structure

fph-clustering

openai-hackathon

roomba_control

Controlling a Roomba with a PS4 controller and playing songs

cdvae

An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

GDN

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

GTS

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

ML_Exercises

MTGNN

pdf-annotate

Pure-python library for adding annotations to PDFs

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

atomate2

atomate2 is a library of computational materials science workflows

PDFsuite

Python scripts for MacOS (OS X) that create, manipulate, and query PDF files

pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

pytorch_geometric

Graph Neural Network Library for PyTorch

tossitlikeitshot