Three DWS Papers accepted at ICLR 2024
We are happy to announce that papers by DWS members based on the work referenced belwo have been accpepted for ICLR 2024 in Vienna: Jonas Belouadi, Anne Lauscher, Steffen Eger: AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ (https://arxiv.org/abs/2310.00367). Sascha ...
Paper Accepted for AAMAS 2024
We are happy to announce, that the paper “RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management” by Michael Oesterle, Tim Grams, Christian Bartelt und Heiner Stuckenschmidt has been accepted as a full paper at the research Track of the International ...
Jan Portisch Receives SWSA Distinguished Dissertation Award
Jan Portisch, a former PhD student at the Data and Web Science Group and now a Lead Software Architect at SAP Signavio, has received the SWSA Distinguished Dissertation Award.
Paper accepted at EMNLP Findings 2023: A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs
The paper “A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs” by Adrian Kochsiek and Rainer Gemulla has been accepted at the Findings of the Association for Computational Linguistics: EMNLP 2023. Abstract: Semi-inductive link prediction (LP) in knowledge graphs (KG) is the task ...
Paper accepted for EMNLP 2023
The paper “NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation” by Andreea Iana, Goran Glavaš,  and Heiko Paulheim has been accepted at the 2023 Conference on Empirical Methods in Natural Language Processing, System Demonstrations Track. Abstract: NewsRecLib is an open-source ...
New Project on Early Stage Diabetes Detection
The BMBF funds a new project in the field of medical AI and systems medicine. The goal of the KI-DiabetesDetektion project is to integrate indication data from various sources in a knowledge graph and apply machine learning methods to improve the early stage detection of Diabetes.
Paper accepted at CIKM 2023: Good Intentions: Adaptive Parameter Management via Intent Signaling
The paper “Good Intentions: Adaptive Parameter Management via Intent Signaling” by Alexander Renz-Wieland, Andreas Kieslinger, Robert Gericke, Rainer Gemulla, Zoi Kaoudi, and Volker Markl has been accepted at the 2023 CIKM Conference on Information and Knowledge Management. Abstract: Model ...
Lea Cohausz wins EDM Best Students Paper Award the second year in a row
For the second year in a row, Lea Cohaus has received a best student paper award at the international conference on educational data mining (EDM 2023). This year's award winning paper is titled “Investigating the Importance of Demographic Features for EDM-Predictions”. The Paper is co-authored by ...
Book on RDF2vec Published
The book “Embedding Knowledge Graphs with RDF2vec”, co-authored by Heiko Paulheim together with DWS alumni Petar Ristoski and Jan Portisch, has been published at Springer. The book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to ...
Two Papers Accepted for ECML/PKDD 2023
We are happy to announce both of our submissions have been accepted for ECML/PKDD 2023 in Turin,Italy (CORE rank A). “Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting” by Julia Gastlinger, Timo Sztyler, Lokesh Sharma, Anett Schülke and Heiner ...