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ax

Adaptive Experimentation Platform

botorch

Bayesian optimization in PyTorch

datasets

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

dgl

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

gitignore

A collection of useful .gitignore templates

grabnel

[NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)

graph_adversarial_attack

Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

grapht

interpretable_stability

Interpretable stability bounds for spectral graph filters (ICML 2021)

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

medianpolish

Implementation of median polish algorithm in C++

pygsp

Graph Signal Processing in Python

rlproject

rottenbandits

An implementation of rotten bandits algorithms

sparse_smoothing

Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More"

spgf

On the Stability of Polynomial Spectral Graph Filters (ICASSP 2020)