Paper accepted for NeurIPS 2021
The paper „Efficient Learning of Discrete-Continuous Computation Graphs“ by David Friede and Mathias Niepert (NEC Research Labs) has been accepted for the 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
Fulbright Scholarship for Michael Pernpeintner
Michael Pernpeinter, PhD Student in the AI Group successfully applied for a Fulbrigth Scholarship to visit Texas A&M University and work with Prof. Guni Sharon on Governance of Autonomous Multi-Agent Systems.
Paper accepted at ISWC 2021
Our paper „Background Knowledge in Schema Matching: Strategy vs. Data“ has been accepted at the 20th International Semantic Web Conference. The paper has been co-authored by Jan Portisch, Michael Hladik, and Heiko Paulheim. In the paper, we have conducted a number of controlled experiments with ...
Paper accepted at PAAMS
The paper „Winning at Any Cost – Infringing the Cartel Prohibition With Reinforcement Learning“ was accepted at the 19th International Conference on Practical Applications of Agents and Multi-Agent Systems.
Paper accepted at JCDL
The paper „GraphConfRec: A Graph Neural Network-Based Conference Recommender System“, co-authored by Andreea Iana and Heiko Paulheim, has been accepted for publication at the ACM/IEEE Joint Conference on Digital Libraries. In the paper, we explore the usage of modern graph neural network based ...
Best Demo Award at ESWC 2021
Earlier this year, we introduced kgextension, the Python extension for processing knowledge graphs. With this extension, data analysts can easily link their data at hand to both public and private knowledge graphs, and add the wealth of public knowledge graphs such as Wikidata to their data ...
Paper accepted for PVLDB 2021
The paper „Dual-Objective Fine-Tuning of BERT for Entity Matching“ by Ralph Peeters and Christian Bizer has been accepted for publication by the Proceedings of the VLDB Endowment (PVLDB) 2021. The paper will be presented at the VLDB 2021 conference in Copenhagen, Denmark in August.
Paper on Large-Scale Dataset Collection from Twitter accepted
Our paper „Collecting a Large Scale Dataset for Classifying Fake News Tweets Using Weak Supervision“ has been accepted for publication in Future Internet.
WDC Table Corpus released
We are happy to announce the release of the WDC Table Corpus.
Another AI Group Member accepts Professorship at Utrecht University
After Melisachew Wudage Chekol who became Assistant Professor at Utrecht University in 2019, Ioana Karnstedt-Hulpus recently also accepted an assistant professorship at the very same university. We are happy that another member of the AI group sucessfully pursues her academic career and that we ...