README.md

Graph is the future of data analytics

Scalable: Designed from ground up to scale Enterprise use cases
Simple Ingestion: Easy integration in existing data infrastructure + connectors to all leading data processing and data ecosystems
Open Source: Extensibility, Community, especially large community maintained library
NLP Support: Built-In Text Processing, Search, and Similarity Ranking

ArangoGraphML	NetworkX, cuGraph, PyG & DGL Support
ArangoGraphML provides enterprise-ready graph-powered machine learning as a cloud service via Jupyter Notebooks that run on the ArangoGraph Insights Platform.	The Networkx Adapter, cuGraph Adapter, PyG Adapter, and DGL Adapter allow developers to export their ArangoDB graphs to NetworkX/cuGraph/PyG/DGL & vice-versa.

FastGraphML	Pregel
FastGraphML is a low-code python package that enables the generation of graph embeddings with PyG.	ArangoDB has built-in Pregel support that allows for analytical processing directly on graphs stored in ArangoDB. Get started here.