Research Scientist
Computer Science Institute
University of Bonn
Profiles: LinkedIn, Google Scholar, DBLP, Twitter
Room 1.052
Endenicher Allee 19a, 53115 Bonn
University of Bonn, Computer Science
sadeghi@cs.uni-bonn.de
Short CV
Afshin Sadeghi is a Research Scientist at the University of Bonn. Afshin’ research interests are in the area of Semantic Knowledge graphs and linked data, Machine Learning and Open Data.
Research Interests
- Semantic Knowledge graphs and linked data,
- Machine Learning,
- Open Data
Projects
- MLwin
Publications
2021
BenchEmbedd: A FAIR Benchmarking tool forKnowledge Graph Embeddings Proceedings Article
In: Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, Amsterdam and Online, September 6-9, 2021, CEUR-WS.org, 2021.
Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task Proceedings Article
In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021.
Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities Proceedings Article
In: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II, pp. 548–564, Springer, 2021.
2020
The Effect of Rule Injectionin a Leakage Free Dataset Proceedings Article
In: Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020, pp. 28–35, CEUR-WS.org, 2020.
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs Proceedings Article
In: ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), pp. 1427–1434, IOS Press, 2020.
Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine Proceedings Article
In: Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part II, pp. 335–347, Springer, 2020.
2019
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter Proceedings Article
In: Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I, pp. 622–630, Springer, 2019.
Opening and Reusing Transparent Peer Reviews with Automatic Article Annotation Journal Article
In: Publ., vol. 7, no. 1, pp. 13, 2019.
2017
Integration of Scholarly Communication Metadata Using Knowledge Graphs Proceedings Article
In: Research and Advanced Technology for Digital Libraries - 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017, Proceedings, pp. 328–341, Springer, 2017.
Opening Scholarly Communication in Social Sciences by Connecting Collaborative Authoring to Peer Review Journal Article
In: Inf. Wiss. Prax., vol. 68, no. 2-3, pp. 163, 2017.
2013
Steiner tree methods for optimal sub-network identification: an empirical study Journal Article
In: BMC Bioinform., vol. 14, pp. 144, 2013.