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ORCIDSahar Vahdati
Person information
- affiliation: Institute for Applied Informatics (InfAI), Dresden, Germany
- affiliation: University of Oxford, Department of Computer Science, UK
- affiliation: University of Bonn, Department of Intelligent Systems, Germany
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2020 – today
- 2023
[j13]Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari
, Pekka Marttinen, Sahar Vahdati:
Unsupervised feature selection based on variance-covariance subspace distance. Neural Networks 166: 188-203 (2023)- [c46]Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati:
Retention is All You Need. CIKM 2023: 4752-4758 - [c45]Jens Lehmann, Sébastien Ferré, Sahar Vahdati:
Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. ECAI 2023: 1348-1356 - [c44]Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, Sahar Vahdati:
Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. ECML/PKDD (3) 2023: 601-616 - [c43]Sahar Vahdati, Deepankan Bharathi Nagaraj, Maximilian Bryan, Sobhan Moazemi, Sabine Gründer-Fahrer, Michael Martin:
Utilizing Transformers on OCT Imagery and Metadata for Treatment Response Prediction in Macular Edema Patients. SCIA (2) 2023: 3-15 - [e6]Maribel Acosta, Silvio Peroni, Sahar Vahdati, Anna Lisa Gentile, Tassilo Pellegrini, Jan-Christoph Kalo:
Knowledge Graphs: Semantics, Machine Learning, and Languages - Proceedings of the 19th International Conference on Semantic Systems, 20-22 September 2023, Leipzig, Germany. Studies on the Semantic Web 56, IOS Press 2023, ISBN 978-1-64368-424-6 [contents] - [e5]Jennifer D'Souza, Anisa Rula, David Chaves-Fraga, Mersedeh Sadeghi, Shahrom Hosseini Sohi, Julián Andrés Rojas, Pieter Colpaert, Edlira Vakaj, Sanju Tiwari, Sahar Vahdati, Anna Lisa Gentile:
Joint Workshop Proceedings of the 5th International Workshop on A Semantic Data Space For Transport (Sem4Tra) and 2nd NLP4KGC: Natural Language Processing for Knowledge Graph Construction co-located with the 19th International Conference on Semantic Systems (SEMANTiCS 2023), Leipzig, Germany and Online, 20 September, 2023. CEUR Workshop Proceedings 3510, CEUR-WS.org 2023 [contents] - [e4]Neha Keshan, Sebastian Neumaier, Anna Lisa Gentile, Sahar Vahdati:
Proceedings of the Posters and Demo Track of the 19th International Conference on Semantic Systems co-located with 19th International Conference on Semantic Systems (SEMANTiCS 2023), Leipzing, Germany, September 20 to 22, 2023. CEUR Workshop Proceedings 3526, CEUR-WS.org 2023 [contents] - [i17]Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati:
Retention Is All You Need. CoRR abs/2304.03103 (2023) - 2022
- [j12]Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Mojtaba Nayyeri, Karishma Mohiuddin, M. S. T. Mahfuja Akter, Sahar Vahdati, Jens Lehmann:
Language Model Guided Knowledge Graph Embeddings. IEEE Access 10: 76008-76020 (2022) - [j11]Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stéphane Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Lianlong Wu:
Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice. Future Gener. Comput. Syst. 129: 407-422 (2022) - [c42]Adriano Vlad, Sahar Vahdati, Mojtaba Nayyeri, Luigi Bellomarini, Emanuel Sallinger:
Towards Hybrid Logic-based and Embedding-based Reasoning on Financial Knowledge Graphs. EDBT/ICDT Workshops 2022 - [c41]Mojtaba Nayyeri, Sahar Vahdati, Md Tansen Khan, Mirza Mohtashim Alam, Lisa Wenige, Andreas Behrend, Jens Lehmann:
Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion. ESWC 2022: 253-269 - [c40]Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob:
Rule Learning over Knowledge Graphs with Genetic Logic Programming. ICDE 2022: 3373-3385 - [c39]Muhammad Saleem, Adnan Akhter, Sahar Vahdati, Axel-Cyrille Ngonga Ngomo:
μ-Bench: Real-world Micro Benchmarking for SPARQL Query Processing over Knowledge Graphs. IJCKG 2022: 39-47 - [e3]Anastasia Dimou, Sebastian Neumaier, Tassilo Pellegrini, Sahar Vahdati:
Towards a Knowledge-Aware AI - SEMANTiCS 2022 - Proceedings of the 18th International Conference on Semantic Systems, 13-15 September 2022, Vienna, Austria. Studies on the Semantic Web 55, IOS Press 2022, ISBN 978-1-64368-320-1 [contents] - [i16]Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Semab Ali, Jens Lehmann, Sahar Vahdati:
Language Model-driven Negative Sampling. CoRR abs/2203.04703 (2022) - [i15]Mojtaba Moattari, Sahar Vahdati, Farhana H. Zulkernine:
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion. CoRR abs/2209.02390 (2022) - 2021
- [j10]Mohsen Fazeli-Varzaneh, Ali Ghorbi, Marcel Ausloos, Emanuel Sallinger, Sahar Vahdati:
Sleeping Beauties of Coronavirus Research. IEEE Access 9: 21192-21205 (2021) - [j9]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Andrey Kravchenko, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Enrico Motta, Jens Lehmann:
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. IEEE Access 9: 116002-116014 (2021) - [j8]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link prediction on scholarly knowledge graphs. Neurocomputing 461: 530-542 (2021) - [j7]Sahar Vahdati, Said Fathalla, Christoph Lange, Andreas Behrend, Aysegul Say, Zeynep Say, Sören Auer:
A comprehensive quality assessment framework for scientific events. Scientometrics 126(1): 641-682 (2021) - [j6]Arthur Lackner, Said Fathalla, Mojtaba Nayyeri, Andreas Behrend, Rainer Manthey, Sören Auer, Jens Lehmann, Sahar Vahdati:
Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade. Scientometrics 126(9): 8129-8151 (2021) - [c38]Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. AAAI 2021: 9064-9072 - [c37]Mojtaba Nayyeri, Sahar Vahdati, Emanuel Sallinger, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Pattern-Aware and Noise-Resilient Embedding Models. ECIR (1) 2021: 483-496 - [c36]Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati:
Knowledge Graph Representation Learning using Ordinary Differential Equations. EMNLP (1) 2021: 9529-9548 - [c35]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. IJCNN 2021: 1-8 - [c34]Patrick Westphal, Sahar Vahdati, Jens Lehmann:
A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. ILP 2021: 266-281 - [c33]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Sahar Vahdati, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. PAKDD (3) 2021: 77-89 - [e2]Emanuel Sallinger, Sahar Vahdati, Mojtaba Nayyeri, Lianlong Wu:
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. CEUR Workshop Proceedings 3020, CEUR-WS.org 2021 [contents] - [i14]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. CoRR abs/2104.05003 (2021) - [i13]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link Prediction on Scholarly Knowledge Graphs. CoRR abs/2107.03297 (2021) - 2020
- [j5]Mojtaba Nayyeri, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati:
3D Learning and Reasoning in Link Prediction Over Knowledge Graphs. IEEE Access 8: 196459-196471 (2020) - [j4]Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer:
Scholarly event characteristics in four fields of science: a metrics-based analysis. Scientometrics 123(2): 677-705 (2020) - [c32]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. KR4L@ECAI 2020: 36-42 - [c31]Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob:
An Evolutionary Algorithm for Rule Learning over Knowledge Graphs. KR4L@ECAI 2020: 52-59 - [c30]Zeynep Say, Said Fathalla, Sahar Vahdati, Jens Lehmann, Sören Auer:
Ontology Design for Pharmaceutical Research Outcomes. TPDL 2020: 119-132 - [c29]Mojtaba Nayyeri, Sahar Vahdati, Xiaotian Zhou, Hamed Shariat Yazdi, Jens Lehmann:
Embedding-Based Recommendations on Scholarly Knowledge Graphs. ESWC 2020: 255-270 - [c28]Aysegul Say, Said Fathalla, Sahar Vahdati, Jens Lehmann, Sören Auer:
Semantic Representation of Physics Research Data. KEOD 2020: 64-75 - [c27]Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Reza Izanloo, Hamed Shariat Yazdi, Jens Lehmann:
Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function. IJCNN 2020: 1-9 - [c26]Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamed Shariat Yazdi, Jens Lehmann:
Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. ISWC (1) 2020: 438-455 - [p2]Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati:
Knowledge Graphs: The Layered Perspective. Knowledge Graphs and Big Data Processing 2020: 20-34 - [p1]Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati:
Reasoning in Knowledge Graphs: An Embeddings Spotlight. Knowledge Graphs and Big Data Processing 2020: 87-101 - [i12]Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. CoRR abs/2006.04986 (2020) - [i11]Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Sahar Vahdati:
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations. CoRR abs/2010.06684 (2020)
2010 – 2019
- 2019
- [b1]Sahar Vahdati:
Collaborative Integration, Publishing and Analysis of Distributed Scholarly Metadata. University of Bonn, Germany, 2019 - [j3]Alejandra N. González-Beltrán, Francesco Osborne, Silvio Peroni, Sahar Vahdati:
Editorial: Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation). Data Sci. 2(1-2): 177-179 (2019) - [c25]Sahar Vahdati, Said Fathalla, Sören Auer, Christoph Lange, Maria-Esther Vidal:
Semantic Representation of Scientific Publications. TPDL 2019: 375-379 - [c24]Mehdi Ali, Sahar Vahdati, Shruti Singh, Sourish Dasgupta, Jens Lehmann:
Improving Access to Science for Social Good. PKDD/ECML Workshops (1) 2019: 658-673 - [c23]Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange:
The scientific events ontology of the OpenResearch.org curation platform. SAC 2019: 2311-2313 - [c22]Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer:
SEO: A Scientific Events Data Model. ISWC (2) 2019: 79-95 - [i10]Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi:
Soft Marginal TransE for Scholarly Knowledge Graph Completion. CoRR abs/1904.12211 (2019) - [i9]Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Hamed Shariat Yazdi, Jens Lehmann:
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function. CoRR abs/1907.05336 (2019) - 2018
- [c21]Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal:
Unveiling Scholarly Communities over Knowledge Graphs. TPDL 2018: 103-115 - [c20]Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange:
Metadata Analysis of Scholarly Events of Computer Science, Physics, Engineering, and Mathematics. TPDL 2018: 116-128 - [c19]Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange:
SemSur: A Core Ontology for the Semantic Representation of Research Findings. SEMANTiCS 2018: 151-162 - [c18]Andreas Behrend, Dieter Gawlick, Sahar Vahdati, Zhen Hua Liu:
Reasoning Under Situation Awareness in a Temporal Database. IRC 2018: 387-391 - [c17]Rebaz Omar, Sahar Vahdati, Christoph Lange, Maria-Esther Vidal, Andreas Behrend:
SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform. ICSC 2018: 41-48 - [c16]Andreas Behrend, Sahar Vahdati, Christoph Lange, Christiane Engels:
Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events. SAVE-SD@WWW 2018: 1-14 - [e1]Alejandra N. González-Beltrán, Francesco Osborne, Silvio Peroni, Sahar Vahdati:
Semantics, Analytics, Visualization - 3rd International Workshop, SAVE-SD 2017, Perth, Australia, April 3, 2017, and 4th International Workshop, SAVE-SD 2018, Lyon, France, April 24, 2018, Revised Selected Papers. Lecture Notes in Computer Science 10959, Springer 2018, ISBN 978-3-030-01378-3 [contents] - [i8]Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal:
Unveiling Scholarly Communities over Knowledge Graphs. CoRR abs/1807.06816 (2018) - 2017
- [j2]Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens:
Challenges as enablers for high quality Linked Data: insights from the Semantic Publishing Challenge. PeerJ Comput. Sci. 3: e105 (2017) - [c15]Andreas Behrend, Diego Calvanese, Tania Cerquitelli, Silvia Chiusano, Christiane Engels, Stéphane Jean, Natalija Kozmina, Béatrice Markhoff, Oscar Romero, Sahar Vahdati:
New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops. ADBIS (Short Papers and Workshops) 2017: 111-122 - [c14]Shirin Ameri, Sahar Vahdati, Christoph Lange:
Exploiting Interlinked Research Metadata. TPDL 2017: 3-14 - [c13]Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange:
Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles. TPDL 2017: 315-327 - [c12]Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer:
Analysing Scholarly Communication Metadata of Computer Science Events. TPDL 2017: 342-354 - [c11]Alejandra N. González-Beltrán, Francesco Osborne, Silvio Peroni, Sahar Vahdati:
SAVE-SD 2017: Third Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Data. WWW (Companion Volume) 2017: 1681-1682 - [i7]Andreas Behrend, Sahar Vahdati, Christoph Lange, Christiane Engels:
Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events. CoRR abs/1711.04548 (2017) - 2016
- [j1]Behnam Ghavimi, Philipp Mayr, Christoph Lange, Sahar Vahdati, Sören Auer:
A semi-automatic approach for detecting dataset references in social science texts. Inf. Serv. Use 36(3-4): 171-187 (2016) - [c10]Sahar Vahdati:
Facilitating the Management and Analysis of Scholarly Communication Metadata. EKAW (Satellite Events) 2016: 278-285 - [c9]Sahar Vahdati, Natanael Arndt, Sören Auer, Christoph Lange:
OpenResearch: Collaborative Management of Scholarly Communication Metadata. EKAW 2016: 778-793 - [c8]Behnam Ghavimi, Philipp Mayr, Sahar Vahdati, Christoph Lange:
Identifying and Improving Dataset References in Social Sciences Full Texts. ELPUB 2016: 105-114 - [c7]Anastasia Dimou, Angelo Di Iorio, Christoph Lange, Sahar Vahdati:
Semantic Publishing Challenge - Assessing the Quality of Scientific Output in Its Ecosystem. SemWebEval@ESWC 2016: 243-254 - [i6]Behnam Ghavimi, Philipp Mayr, Sahar Vahdati, Christoph Lange:
Identifying and Improving Dataset References in Social Sciences Full Texts. CoRR abs/1603.01774 (2016) - [i5]Behnam Ghavimi, Philipp Mayr, Christoph Lange, Sahar Vahdati, Sören Auer:
A Semi-Automatic Approach for Detecting Dataset References in Social Science Texts. CoRR abs/1611.01820 (2016) - [i4]Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens:
Challenges as enablers for high quality linked data: Insights from the semantic publishing challenge. PeerJ Prepr. 4: e2616 (2016) - 2015
- [c6]Angelo Di Iorio, Christoph Lange, Anastasia Dimou, Sahar Vahdati:
Semantic Publishing Challenge - Assessing the Quality of Scientific Output by Information Extraction and Interlinking. SemWebEval@ESWC 2015: 65-80 - [c5]Magnus Knuth, Dinesh Reddy, Anastasia Dimou, Sahar Vahdati, George Kastrinakis:
Towards Linked Data Update Notifications Reviewing and Generalizing the SparqlPuSH Approach. NoISE@ESWC 2015 - [c4]Sahar Vahdati, Christoph Lange, Sören Auer:
OpenCourseWare observatory: does the quality of OpenCourseWare live up to its promise? LAK 2015: 73-82 - [c3]Sahar Vahdati, Farah Karim, Jyun-Yao Huang, Christoph Lange:
Mapping Large Scale Research Metadata to Linked Data: A Performance Comparison of HBase, CSV and XML. MTSR 2015: 261-273 - [i3]Sahar Vahdati, Farah Karim, Jyun-Yao Huang, Christoph Lange:
Mapping Large Scale Research Metadata to Linked Data: A Performance Comparison of HBase, CSV and XML. CoRR abs/1506.04006 (2015) - [i2]Angelo Di Iorio, Christoph Lange, Anastasia Dimou, Sahar Vahdati:
Semantic Publishing Challenge - Assessing the Quality of Scientific Output by Information Extraction and Interlinking. CoRR abs/1508.06206 (2015) - 2014
- [c2]Sahar Vahdati, Andreas Behrend, Christoph Lange:
Identifying research schools using enriched bibliographical metadata. I-KNOW 2014: 39:1-39:4 - [c1]Sahar Vahdati, Andreas Behrend, Gereon Schüller, Rainer Manthey:
A Flexible System for a Comprehensive Analysis of Bibliographical Data. WEBIST (1) 2014: 143-151 - [i1]Sahar Vahdati, Christoph Lange, Sören Auer:
OpenCourseWare Observatory - Does the Quality of OpenCourseWare Live up to its Promise? CoRR abs/1410.5694 (2014)
Coauthor Index
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