Paper accepted in SIGMOD 2022: NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
The paper “NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access” by Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, and Volker Markl  has been accepted at the 2022 ACM SIGMOD International Conference on Management of Data. Abstract: Parameter servers (PSs) ...
Paper accepted in PVLDB 2022: Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques
The paper “Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques” by Adrian Kochsiek and Rainer Gemulla has been accepted at the 2022 Proceedings of the VLDB Endowment (PVLDB). Abstract: Knowledge graph embedding (KGE) models represent the entities and relations of a ...
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).
3.5 Papers Accepted for ACL!
Four papers by DWS authors have been accepted for ACL, the #1 publication venue for the research area of Natural Language Processing (NLP).
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.