Minimal examples of data structures and algorithms in Python

Build Real-Time Knowledge Graphs for AI Agents

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Implementation and experiments of graph embedding algorithms.

Converts profiling output to a dot graph.

Graphormer is a general-purpose deep learning backbone for molecular modeling.

A generalist Python node editor

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Nice-looking lightweight console ASCII line charts ╭┈╯ for NodeJS, browsers and terminal, no dependencies

A simple python library to interact with Microsoft Graph and Office 365 API

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Beagle is an incident response and digital forensics tool which transforms security logs and data into graphs.

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Solved algorithms and data structures problems in many languages

Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ

Trustworthy AI related projects

Python package for graph statistics