Open-source toolkit to extract structured knowledge graphs from documents and tables — power analytics, digital twins, and AI-driven assistants.
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Updated
Sep 15, 2025 - Python
Open-source toolkit to extract structured knowledge graphs from documents and tables — power analytics, digital twins, and AI-driven assistants.
CauseNet: Towards a Causality Graph Extracted from the Web
Extraction of graphs from skeletonised images.
Programmatic data access layer for LLM agents - navigate context, don't memorize it
GUI for visualising graph extraction on skeletonised images.
Hateful Meme challenge, Knowledge graph based approach
Generates training data for graph extraction.
Network diagram to structured data converter for Visio draw.io and photos
mask2graph converts 2D/3D binary masks into deterministic geometric graphs (nodes, edges, radii, and metadata) for downstream analysis, simulation, and learning systems.
Binary release of CloudSeg and CloudGraph for TomatoPGT digital twin modeling
A complete end-to-end pipeline for extracting structured data from chart and graph images
CauseNet: Towards a Causality Graph Extracted from the Web
Machine Learning for Medical Image Processing. Project done for Charité, the university hospital of Berlin. The aim was to segment coronary arteries and then extract a graph from it, in order to aid detection of coronary artery disease (CAD).
Processing of bibliographic files
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