graph-algorithms

Network Analysis in Python

:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#

High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.

A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!

Graph data structure library for Rust.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

A collection of research papers and software related to explainability in graph machine learning.

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

Vectors analytics and search library using dispersion models. Provides graph analysis, vector search and a energy-distribution stats for your vectors in one package.

Absurdly fast embedded graph database with built-in vector search. Rust core, Node.js and Python connectors, GQL, graph algorithms, all in-process with no server.