Two Papers Accepted for ECML/ PKDD 2023
We are happy to announce both of our submissions have been accepted for ECML/
- „Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting“ by Julia Gastlinger, Timo Sztyler, Lokesh Sharma, Anett Schülke and Heiner Stuckenschmidt
- „Learning Disentangled Discrete Representations“ by David Friede, Christian Reimers, Mathias Niepert and Heiner Stuckenschmidt