13.04.2020
MCML at ECIR 2020
One Accepted Paper
42nd European Conference on Information Retrieval, Virtual, Apr 14-17, 2020
We are happy to announce that MCML researchers have contributed a total of 1 paper to ECIR 2020. Congrats to our researchers!
Main Track (1 paper)
M. Berrendorf • E. Faerman • V. Melnychuk • V. Tresp • T. Seidl
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.
ECIR 2020 - 42nd European Conference on Information Retrieval. Virtual, Apr 14-17, 2020. DOI GitHub
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.
ECIR 2020 - 42nd European Conference on Information Retrieval. Virtual, Apr 14-17, 2020. DOI GitHub
Related
31.07.2026
Benedikt Wiestler: We Want to Build a Time Machine
MCML PI Benedikt Wiestler explains how AI models help to develop specific strategies in clinical therapy for brain tumor patients.
28.07.2026
Gaps in the Benchmark: Why Medical AI Fails in the Real World
MCML researchers show in Nature Health how dynamic red teaming exposes hidden weaknesses in Medical AI beyond static benchmarks.