08.11.2021
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
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
Related
15.10.2026
When Flatter Is Not Always Better
In their ICML 2026 paper, MCML researchers show why the flattest regions found during neural network training are not always the best.
13.10.2026
Björn Schuller: What Your Voice Reveals About Your Health
MCML PI Björn Schuller explores how AI can analyze the human voice to detect signs of disease and reveal insights into our health.
