Publications

Chengjin Xu, Fenglong Su, and 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, and Sandhya Thekkumpadan Puthiyaveedu. Fitch Graph Completion. Computing and Combinatorics, 225–237, Springer Nature Switzerland, December 2023. [PUMA: Completion Fitch Graph nopdf] URL

Kossi Amouzouvi, Bowen Song, Sahar Vahdati, and 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, and Nianwen Xue (Eds.), 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: Completion Embeddings GeoGebra Geometry Graph Knowledge Relation] URL

Jens Lehmann, Sébastien Ferré, and 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, and Roxana Radulescu (Eds.), 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] URL

Denny Vrandecić, Lydia Pintscher, and Markus Krötzsch. Wikidata: The Making Of. In Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, and Geert-Jan Houben (Eds.), Companion Proceedings of the ACM Web Conference 2023 (WWW'23), 615–624, Association for Computing Machinery (ACM), New York, United States of America, Apr 30, 2023. [PUMA: topic_knowledge FIS_scads MediaWiki, Wikibase, Wikidata, graph knowledge]

Ulrike Kister, Patrick Reipschläger, and 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, and 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, and 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, and 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, July 2023. [PUMA: topic_visualcomputing graph imaging; learning; machine medical multi-modal networks; neural prediction stroke]