🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

• UpdatedSep 30, 2025
• C++

腾讯高性能分布式图计算框架Plato

• UpdatedAug 14, 2021
• C++

A curated list of resources for graph databases and graph computing tools

• UpdatedNov 15, 2025

GraphIt - A High-Performance Domain Specific Language for Graph Analytics

• UpdatedDec 19, 2022
• C++

A reading list for deep graph learning acceleration.

• UpdatedJul 26, 2025

🔧 Python Random Graph Generator

• UpdatedDec 17, 2025
• Python

A general-purpose, distributed graph random walk engine.

• UpdatedAug 5, 2023
• C++

HugeGraph Computer - A distributed graph processing system for hugegraph (OLAP)

• UpdatedDec 15, 2025
• Java

Intro to Julius Graph

• UpdatedJun 24, 2022

A curated list of graph learning papers, articles, tutorials, slides and projects

• UpdatedSep 29, 2020

GRIN is a proposed standard graph retrieval interface in GraphScope.

• UpdatedMar 25, 2024
• C

Labs of High Performance Computing in Tsinghua University

• UpdatedFeb 26, 2017
• C++

DGraph is a system for directed graph processing with taking advantage of the strongly connected component structure. On this system, most graph partitions are able to reach convergence in order and need to be loaded into the main memory for exactly once, getting much lower data access cost and faster convergence.

• UpdatedOct 13, 2020
• C++

• UpdatedJul 9, 2021
• Cuda

graph_data_parser for euler

• UpdatedSep 25, 2024
• Java

c++ graph computing system for billions.

• UpdatedJul 2, 2017
• C++

Graph computation in Clojure using spec

• UpdatedNov 6, 2018
• Clojure

A distributed computing platform, designed to scale to millions of nodes and providing metaphoric abstractions.

• UpdatedMay 6, 2020
• Julia

Collection of Graiphic whitepapers covering SOTA, GO HW, GO GenAI, and GO IML. Together they outline a unified, sovereign AI stack connecting models, logic, knowledge, and hardware.

• UpdatedDec 13, 2025

Graiphic Toolkits for LabVIEW provide advanced AI, GPU, and graph-oriented computing capabilities directly inside LabVIEW. Built on ONNX Runtime, they enable seamless integration of SOTA, Accelerator, and Deep Learning Toolkit for high-performance execution across CPUs, GPUs, and edge devices.

• UpdatedDec 3, 2025