Implementation of the Aurora model for atmospheric forecasting

Court of XAI - A Python library for the systematic comparison of feature additive explanation methods.

MatDeepLearn, package for graph neural networks in materials chemistry

Graph Neural Network Library for PyTorch

A library for graph deep learning research

Code for the paper https://arxiv.org/abs/2003.00827

Complete collection of my PGF/TikZ figures.

links to conference publications in graph-based deep learning

A curated list of adversarial attacks and defenses papers on graph-structured data.

Must-read papers on graph neural networks (GNN)

Representation learning on large graphs using stochastic graph convolutions.

A repository of pretty cool datasets that I collected for network science and machine learning research.

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accountability, Confidentiality, and Transparency (FACT). These w…

gnn explainer

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

A repository of concepts related to neural networks for NLP

This repository contains the source code associated with the method proposed by Tolomei et al. in their KDD 2017 research paper entitled "Interpretable Predictions of Tree-based Ensembles via Actio…

Lime: Explaining the predictions of any machine learning classifier