Max Berrendorf and Volker Tresp Receive Best Paper Award at ISWC 2021

Honored for Improving Inductive Link Prediction Using Hyper-Relational Facts

Congrats to our Junior Member Max Berrendorf and our PI Volker Tresp for receiving the Best Paper Award in the Research Track at the International Semantic Web Conference (ISWC 2021) for their work "Improving Inductive Link Prediction Using Hyper-Relational Facts".

Congrats from us!

M. Ali • M. Berrendorf • M. Galkin • V. Thost • T. Ma • V. Tresp • J. Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts.
ISWC 2021 - 20th International Semantic Web Conference. Virtual, Oct 24-28, 2021. Best Paper Award. DOI GitHub

Learn more

#award #research #tresp

Subscribe to RSS News feed

10.06.2026

How Should Researchers Report Their Use of LLMs?

Is AI making science impossible to replicate? Stefan Feuerriegel and the MCML team introduce the GUIDE-LLM framework in Nature.

02.06.2026

Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness

MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.

02.06.2026

MCML at CVPR 2026

MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).

29.05.2026

MCML at ICRA 2026

MCML researchers are represented with 4 papers at ICRA 2026 (3 Main, and 1 Workshop).

28.05.2026

Zeynep Akata: To Trust AI, We Need to Understand What Goes on Behind the Scenes

MCML PI Zeynep Akata explains that to trust AI, we must understand its inner workings, address foundation model bias, and make explainability central.

Max Berrendorf and Volker Tresp Receive Best Paper Award at ISWC 2021

Honored for Improving Inductive Link Prediction Using Hyper-Relational Facts

Related