Sahar Vahdati

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 73

Top Topics

Graph Embedding

Top Venues

Publications

Jens Lehmann, Antonello Meloni, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Sahar Vahdati
Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. ESWC (1) (2024)
Farid Saberi-Movahed, Bitasta Biswas, Prayag Tiwari, Jens Lehmann, Sahar Vahdati
Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation. Expert Syst. Appl. 249 (2024)
Kossi Amouzouvi, Bowen Song, Sahar Vahdati, Jens Lehmann
Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion. LREC/COLING (2024)
Lorenzo Paolini, Sahar Vahdati, Angelo Di Iorio, Robert Wardenga, Ivan Heibi, Silvio Peroni
Why do you cite? An investigation on citation intents and decision-making classification processes. CoRR (2024)
Prayag Tiwari, Farid Saberi Movahed, Saeed Karami, Farshad Saberi-Movahed, Jens Lehmann, Sahar Vahdati
A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis. Trans. Mach. Learn. Res. 2024 (2024)
Jens Lehmann, Dhananjay Bhandiwad, Preetam Gattogi, Sahar Vahdati
Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources. Trans. Assoc. Comput. Linguistics 12 (2024)
Jens Lehmann, Sébastien Ferré, Sahar Vahdati
Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. ECAI (2023)
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)
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)
Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati
Retention Is All You Need. CoRR (2023)
Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari, Pekka Marttinen, Sahar Vahdati
Unsupervised feature selection based on variance-covariance subspace distance. Neural Networks 166 (2023)
Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati
Retention is All You Need. CIKM (2023)
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 (2022)
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 (2022)
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)
Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Semab Ali, Jens Lehmann, Sahar Vahdati
Language Model-driven Negative Sampling. CoRR (2022)
Mojtaba Moattari, Sahar Vahdati, Farhana H. Zulkernine
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion. CoRR (2022)
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)
Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob
Rule Learning over Knowledge Graphs with Genetic Logic Programming. ICDE (2022)
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)
Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati
Knowledge Graph Representation Learning using Ordinary Differential Equations. EMNLP (1) (2021)
Patrick Westphal, Sahar Vahdati, Jens Lehmann
A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. ILP (2021)
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 (2021)
Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. IJCNN (2021)
Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann
5* Knowledge Graph Embeddings with Projective Transformations. AAAI (2021)
Mohsen Fazeli-Varzaneh, Ali Ghorbi, Marcel Ausloos, Emanuel Sallinger, Sahar Vahdati
Sleeping Beauties of Coronavirus Research. IEEE Access 9 (2021)
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) (2021)
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 (2021)
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)
Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. CoRR (2021)
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) (2021)
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 (2021)
Mojtaba Nayyeri, Sahar Vahdati, Emanuel Sallinger, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann
Pattern-Aware and Noise-Resilient Embedding Models. ECIR (1) (2021)
Zeynep Say, Said Fathalla, Sahar Vahdati, Jens Lehmann, Sören Auer
Ontology Design for Pharmaceutical Research Outcomes. TPDL (2020)
Mojtaba Nayyeri, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati
3D Learning and Reasoning in Link Prediction Over Knowledge Graphs. IEEE Access 8 (2020)
Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Reza Izanloo, Hamed Shariat Yazdi, Jens Lehmann
for Knowledge Graph Embeddings via a Correntropy Objective Function. IJCNN (2020)
Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann
5* Knowledge Graph Embeddings with Projective Transformations. CoRR (2020)
Aysegul Say, Said Fathalla, Sahar Vahdati, Jens Lehmann, Sören Auer
Semantic Representation of Physics Research Data. KEOD (2020)
Mojtaba Nayyeri, Sahar Vahdati, Xiaotian Zhou, Hamed Shariat Yazdi, Jens Lehmann
Embedding-Based Recommendations on Scholarly Knowledge Graphs. ESWC (2020)
Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Sahar Vahdati
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations. CoRR (2020)
Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer
Scholarly event characteristics in four fields of science: a metrics-based analysis. Scientometrics 123 (2) (2020)
Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob
An Evolutionary Algorithm for Rule Learning over Knowledge Graphs. KR4L@ECAI (2020)
Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann
Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. KR4L@ECAI (2020)
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)
Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer
SEO: A Scientific Events Data Model. ISWC (2) (2019)
Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi
Soft Marginal TransE for Scholarly Knowledge Graph Completion. CoRR (2019)
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) (2019)
Sahar Vahdati, Said Fathalla, Sören Auer, Christoph Lange, Maria-Esther Vidal
Semantic Representation of Scientific Publications. TPDL (2019)
Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange
The scientific events ontology of the OpenResearch.org curation platform. SAC (2019)
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 (2019)
Mehdi Ali, Sahar Vahdati, Shruti Singh, Sourish Dasgupta, Jens Lehmann
Improving Access to Science for Social Good. PKDD/ECML Workshops (1) (2019)
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)
Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange
SemSur: A Core Ontology for the Semantic Representation of Research Findings. SEMANTiCS (2018)
Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal
Unveiling Scholarly Communities over Knowledge Graphs. TPDL (2018)
Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal
Unveiling Scholarly Communities over Knowledge Graphs. CoRR (2018)
Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange
Metadata Analysis of Scholarly Events of Computer Science, Physics, Engineering, and Mathematics. TPDL (2018)
Rebaz Omar, Sahar Vahdati, Christoph Lange, Maria-Esther Vidal, Andreas Behrend
SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform. ICSC (2018)
Andreas Behrend, Dieter Gawlick, Sahar Vahdati, Zhen Hua Liu
Reasoning Under Situation Awareness in a Temporal Database. IRC (2018)
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)
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 (2017)
Shirin Ameri, Sahar Vahdati, Christoph Lange
Exploiting Interlinked Research Metadata. TPDL (2017)
Andreas Behrend, Sahar Vahdati, Christoph Lange, Christiane Engels
Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events. CoRR (2017)
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)
Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer
Analysing Scholarly Communication Metadata of Computer Science Events. TPDL (2017)
Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange
Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles. TPDL (2017)
Sahar Vahdati, Natanael Arndt, Sören Auer, Christoph Lange
OpenResearch: Collaborative Management of Scholarly Communication Metadata. EKAW (2016)
Behnam Ghavimi, Philipp Mayr, Sahar Vahdati, Christoph Lange
Identifying and Improving Dataset References in Social Sciences Full Texts. CoRR (2016)
Behnam Ghavimi, Philipp Mayr, Christoph Lange, Sahar Vahdati, Sören Auer
A Semi-Automatic Approach for Detecting Dataset References in Social Science Texts. CoRR (2016)
Behnam Ghavimi, Philipp Mayr, Sahar Vahdati, Christoph Lange
Identifying and Improving Dataset References in Social Sciences Full Texts. ELPUB (2016)
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) (2016)
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 (2016)
Anastasia Dimou, Angelo Di Iorio, Christoph Lange, Sahar Vahdati
Semantic Publishing Challenge - Assessing the Quality of Scientific Output in Its Ecosystem. SemWebEval@ESWC (2016)
Sahar Vahdati
Facilitating the Management and Analysis of Scholarly Communication Metadata. EKAW (Satellite Events) (2016)
Magnus Knuth, Dinesh Reddy, Anastasia Dimou, Sahar Vahdati, George Kastrinakis
Towards Linked Data Update Notifications Reviewing and Generalizing the SparqlPuSH Approach. NoISE@ESWC (2015)
Sahar Vahdati, Christoph Lange, Sören Auer
OpenCourseWare observatory: does the quality of OpenCourseWare live up to its promise? LAK (2015)
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)
Angelo Di Iorio, Christoph Lange, Anastasia Dimou, Sahar Vahdati
Semantic Publishing Challenge - Assessing the Quality of Scientific Output by Information Extraction and Interlinking. CoRR (2015)
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 (2015)
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)
Sahar Vahdati, Christoph Lange, Sören Auer
OpenCourseWare Observatory - Does the Quality of OpenCourseWare Live up to its Promise? CoRR (2014)
Sahar Vahdati, Andreas Behrend, Gereon Schüller, Rainer Manthey
A Flexible System for a Comprehensive Analysis of Bibliographical Data. WEBIST (1) (2014)
Sahar Vahdati, Andreas Behrend, Christoph Lange
Identifying research schools using enriched bibliographical metadata. I-KNOW (2014)