Serving up-to-date Dynamic Knowledge Graph Embeddings
Open Science Project
This project addresses the challenge of providing up-to-date embeddings for dynamic knowledge graphs (KGs) and ontologies. The goal is to develop a framework capable of periodically collecting new KG versions, computing embeddings and making them publicly available for further research.
Providing publicly available up-to-date embeddings will:
- Democratize researchers’ access
- Empower researchers to faster experimentation
- Improve performance across different tasks over KGs
- Reduce the carbon footprint by reusing pre-trained embeddings
The project will be funded by an 2024 Open Science Grant awarded to Dr. Rita Torres de Sousa.

Staff: Hamid Ahmad