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stellargraph - StellarGraph - Machine Learning on Graphs

  •    Python

StellarGraph is a Python library for machine learning on graphs and networks. StellarGraph is built on TensorFlow 2 and its Keras high-level API, as well as Pandas and NumPy. It is thus user-friendly, modular and extensible. It interoperates smoothly with code that builds on these, such as the standard Keras layers and scikit-learn, so it is easy to augment the core graph machine learning algorithms provided by StellarGraph. It is thus also easy to install with pip or Anaconda.

GraphScope - GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba

  •    Rust

GraphScope is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster of computers through a user-friendly Python interface. GraphScope makes multi-staged processing of large-scale graph data on compute clusters simple by combining several important pieces of Alibaba technology: including GRAPE, MaxGraph, and Graph-Learn (GL) for analytics, interactive, and graph neural networks (GNN) computation, respectively, and the vineyard store that offers efficient in-memory data transfers. Visit our website at graphscope.io to learn more.

tripl - This one weird trick turns JSON documents into semantic graph databases!

  •    Python

This repository contains a python library for working with this data programatically from python, and will evolve into a command line tool for working with this data.NoSQL document stores have of late gained popularity for their tremendous flexibility and ease of entry. The problem is that once you want to access the data in a different way, you're locked in to the ad hoc schema you hacked together that one night.

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