Two Papers Accepted for ECML/PKDD 2023

We are happy to announce both of our submissions have been accepted for ECML/PKDD 2023 in Turin,Italy (CORE rank A).

  • “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