Organization
PyKEEN is developed by an international, interdisciplinary, decentralized core team. We’re from and living in 🇩🇪, 🇮🇹, 🇮🇷, 🇺🇸, 🇩🇰, 🇨🇦, and 🇳🇱. (listed alphabetically by last name)
Mehdi Ali, Ph.D. Fraunhofer IAIS |
Max Berrendorf, Ph.D. Machine Learning Researcher at DeepL |
Michael Galkin, Ph.D. Postdoctoral Fellow at Mila & McGill University |
Charles Tapley Hoyt, Ph.D. Senior Scientist at Northeastern University |
Sahand Sharifzadeh Ph.D. candidate at LMU Munich |
Laurent Vermue, Ph.D. Researcher at the Technical University of Denmark |
Contributors
Made with contrib.rocks.
Advisors
Prof. Dr. Jens Lehmann P.I. at the University of Bonn and Fraunhofer IAIS |
Prof. Dr. Volker Tresp P.I. at the Ludwig Maximilian University of Munich and Siemens |
Dr. Benjamin M. Gyori Director of Machine-assisted Modeling and Analysis in the Laboratory of Systems Pharmacology at Harvard Medical School |
Additional code contributors are listed in the PyKEEN repository.
Supporters
This project has been supported by several organizations (in alphabetical order):
- Bayer
- CoronaWhy
- Enveda Biosciences
- Fraunhofer Institute for Algorithms and Scientific Computing
- Fraunhofer Institute for Intelligent Analysis and Information Systems
- Fraunhofer Center for Machine Learning
- Harvard Program in Therapeutic Science - Laboratory of Systems Pharmacology
- Ludwig-Maximilians-Universität München
- Siemens
- Smart Data Analytics Research Group (University of Bonn & Fraunhofer IAIS)
- Technical University of Denmark - DTU Compute - Section for Cognitive Systems
- Technical University of Denmark - DTU Compute - Section for Statistics and Data Analysis
- University of Bonn
Funding
The development of PyKEEN has been funded by the following grants:
| Funding Body | Program | Grant |
|---|---|---|
| DARPA | Young Faculty Award (PI: Benjamin Gyori) | W911NF2010255 |
| DARPA | Automating Scientific Knowledge Extraction (ASKE) | HR00111990009 |
| German Federal Ministry of Education and Research (BMBF) | Maschinelles Lernen mit Wissensgraphen (MLWin) | 01IS18050D |
| German Federal Ministry of Education and Research (BMBF) | Munich Center for Machine Learning (MCML) | 01IS18036A |
| Innovation Fund Denmark (Innovationsfonden) | Danish Center for Big Data Analytics driven Innovation (DABAI) | Grand Solutions |