Tools and utilities to enable loading data and building graph applications with Amazon Neptune.
-
Updated
Oct 1, 2026 - Python
Tools and utilities to enable loading data and building graph applications with Amazon Neptune.
Recalling node properties from a knowledge graph
Generate database schema, documentation, and other artifacts from an Entity-Relationship diagram, which is created as a GraphML file using the yEd graph editor.
Flights in Brazil registered by ANAC (Agência Nacional de Aviação Civil - National Civil Aviation Agency).
Python library extending yEd functionality through programmatic interface to graphs
[AAAI 2026] Official Github Repo for our paper MORAL - Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
Generate a GraphML graph datafile representing the Keybase.io network based on an origin Keybase user id value.
Implementation of DMoN-DPR (accepted at the NeurIPS 2025 NPGML Workshop)
Node Duplication Improves Cold-start Link Prediction
Converts Mizar ESX MML mathematical data to property graph formats - GraphML, YARS-PG for Neo4j, and other graph databases. Supports external RDF data.
Powerful & user-friendly property graph generator that creates graphs with specified node and edge numbers, supporting multiple output formats, graph schema, plugins and visualization
Trim, extract, and convert GEMs
A seamless, asynchronous open-world simulation engine built with UE5 and C++ featuring dynamic NPC memory decay, mutating rumor networks, macro-environmental desperation modeling, and zero-cut state transitions.
Reverse-engineer any Python codebase into an interactive architecture knowledge graph with AI-powered layer detection, community discovery, and living documentation
Implementation of GraphWavenet (https://arxiv.org/abs/1906.00121) in PyG
To associate your repository with the graphml topic, visit your repo's landing page and select "manage topics."