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.

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 ...

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 ...

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.

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 ...

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 ...

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 ...

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 ...

The paper “Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction” by Adrian Kochsiek, Apoorv Saxena, Inderjeet Nair, and Rainer Gemulla has been accepted at the 2023 Repl4NLP Workshop on Representation Learning for NLP, hosted by ACL 2023. Abstract: We propose KGT5-context, a ...

The paper “Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives” by Andreea Iana, Goran Glavaš,  and Heiko Paulheim has been accepted at the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Abstract: The advent ...