Publications

Chengjin Xu, Fenglong Su, und Jens Lehmann. Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs. 2022. [PUMA: Alignment Entity Graph Graphs Knowledge Networks Neural Temporal Time-aware Yaff] URL

Marc Hellmuth, Peter F. Stadler, und Sandhya Thekkumpadan Puthiyaveedu. Fitch Graph Completion. Computing and Combinatorics, 225–237, Springer Nature Switzerland, Dezember 2023. [PUMA: Completion Fitch Graph nopdf] URL

Kossi Amouzouvi, Bowen Song, Sahar Vahdati, und Jens Lehmann. Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion. In Nicoletta Calzolari, Min-Yen Kan, Véronique Hoste, Alessandro Lenci, Sakriani Sakti, und Nianwen Xue (Hrsg.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy, 9832--9842, ELRA and ICCL, 2024. [PUMA: Graph Completion Embeddings GeoGebra Geometry Knowledge Relation xack] URL

Jens Lehmann, Sébastien Ferré, und Sahar Vahdati. Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. In Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein, und Roxana Radulescu (Hrsg.), ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), (372):1348--1356, IOS Press, 2023. [PUMA: Answering Controlled Graph Knowledge Language Models Natural Parsers Question Semantic xack] URL

Ulrike Kister, Patrick Reipschläger, und Raimund Dachselt. MultiLens: Fluent Interaction with Multi-Functional Multi-Touch Lenses for Information Visualization. Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces, 139–148, Association for Computing Machinery, New York, NY, USA, 2016. [PUMA: exploration, focus+context graph information interaction, lenses, magic multi-touch visualization,] URL

Harsh Thakkar, Dharmen Punjani, Jens Lehmann, und Sören Auer. Two for One: Querying Property Graph Databases Using SPARQL via Gremlinator. Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Association for Computing Machinery, New York, NY, USA, 2018. [PUMA: SPARQL, graph gremlin, gremlinator, property traversal,] URL

Fabian Gärtner, Christian Höner Zu Siederdissen, Lydia Müller, und Peter F Stadler. Coordinate systems for supergenomes. Algorithms Mol. Biol., (13)1:15, Springer Science and Business Media LLC, September 2018. [PUMA: Betweenness Big Colored Combinatorial Comparative Graph data; genomics; multigraph; optimization; ordering; theory transcriptomics;]

Ariel Iporre-Rivas, Dorothee Saur, Karl Rohr, Gerik Scheuermann, und Christina Gillmann. Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network. J. Med. Imaging (Bellingham), (10)4:044502, SPIE-Intl Soc Optical Eng, Juli 2023. [PUMA: topic_visualcomputing graph imaging; learning; machine medical multi-modal networks; neural prediction stroke]