MCML at WWW 2022

Two Accepted Papers (2 Workshops)

We are happy to announce that MCML researchers have contributed a total of 2 papers to WWW 2022: 2 Workshop papers. Congrats to our researchers!

M. Galkin • M. Berrendorf • C. T. Hoyt
An Open Challenge for Inductive Link Prediction on Knowledge Graphs.
GLB @WWW 2022 - Workshop on Graph Learning Benchmarks at the International World Wide Web Conference. Virtual, Apr 22-29, 2022. arXiv GitHub

C. T. Hoyt • M. Berrendorf • M. Gaklin • V. Tresp • B. M. Gyori
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs.
GLB @WWW 2022 - Workshop on Graph Learning Benchmarks at the International World Wide Web Conference. Virtual, Apr 22-29, 2022. arXiv

11.05.2026

Cordelia Schmid Featured in Süddeutsche Zeitung

Cordelia Schmid, a member of the MCML Advisory Board, was recently featured in Süddeutsche Zeitung for her work in computer vision and robotics.

08.05.2026

Right Answer, Wrong Reasoning - Is AI Thinking or Cheating?

Can AI cheat without us noticing? Our PI Barbara Plank and her team introduce a new detection method at ICLR 2026.

07.05.2026

MCML Delegation Visit to the UK

MCML delegation visited top U.S. universities to advance AI X-Change and foster collaboration in generative and medical AI.

07.05.2026

Matthias Niessner Featured in Handelsblatt Disrupt Podcast

Matthias Niessner joined the Handelsblatt Disrupt podcast to discuss the growing hype around “World Models”.

06.05.2026

MemAgents Workshop at ICLR 2026

The workshop MemAgents workshop focused on the role of memory in long-horizon AI agents. Co-Organized by Hinrich Schütze, Yunpu Ma and Ercong Nie.