Identifying research schools using enriched bibliographical metadata. - Sahar Vahdati; Andreas Behrend; Christoph Lange 002 (I-KNOW, 2014)

A Flexible System for a Comprehensive Analysis of Bibliographical Data. - Sahar Vahdati; Andreas Behrend; Gereon Schüller; Rainer Manthey (WEBIST (1), 2014)

Semantic Publishing Challenge - Assessing the Quality of Scientific Output by Information Extraction and Interlinking. - Angelo Di Iorio; Christoph Lange 002; Anastasia Dimou; Sahar Vahdati (SemWebEval@ESWC, 2015)

Towards Linked Data Update Notifications Reviewing and Generalizing the SparqlPuSH Approach. - Magnus Knuth; Dinesh Reddy; Anastasia Dimou; Sahar Vahdati; George Kastrinakis (NoISE@ESWC, 2015)

OpenCourseWare observatory: does the quality of OpenCourseWare live up to its promise? - Sahar Vahdati; Christoph Lange 002; Sören Auer (LAK, 2015)

Mapping Large Scale Research Metadata to Linked Data: A Performance Comparison of HBase, CSV and XML. - Sahar Vahdati; Farah Karim; Jyun-Yao Huang; Christoph Lange 002 (MTSR, 2015)

Facilitating the Management and Analysis of Scholarly Communication Metadata. - Sahar Vahdati (EKAW (Satellite Events), 2016)

OpenResearch: Collaborative Management of Scholarly Communication Metadata. - Sahar Vahdati; Natanael Arndt; Sören Auer; Christoph Lange 002 (EKAW, 2016)

Identifying and Improving Dataset References in Social Sciences Full Texts. - Behnam Ghavimi; Philipp Mayr 001; Sahar Vahdati; Christoph Lange 002 (ELPUB, 2016)

Semantic Publishing Challenge - Assessing the Quality of Scientific Output in Its Ecosystem. - Anastasia Dimou; Angelo Di Iorio; Christoph Lange 002; Sahar Vahdati (SemWebEval@ESWC, 2016)

A semi-automatic approach for detecting dataset references in social science texts. - Behnam Ghavimi; Philipp Mayr 001; Christoph Lange 002; Sahar Vahdati; Sören Auer (Inf. Serv. Use, 2016)

Challenges as enablers for high quality linked data: Insights from the semantic publishing challenge. - Anastasia Dimou; Sahar Vahdati; Angelo Di Iorio; Christoph Lange 002; Ruben Verborgh; Erik Mannens (PeerJ Prepr., 2016)

New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops. - Andreas Behrend; Diego Calvanese; Tania Cerquitelli; Silvia Chiusano; Christiane Engels; Stéphane Jean; Natalija Kozmina; Béatrice Markhoff; Oscar Romero 001; Sahar Vahdati (ADBIS (Short Papers and Workshops), 2017)

Exploiting Interlinked Research Metadata. - Shirin Ameri; Sahar Vahdati; Christoph Lange 002 (TPDL, 2017)

Analysing Scholarly Communication Metadata of Computer Science Events. - Said Fathalla; Sahar Vahdati; Christoph Lange 002; Sören Auer (TPDL, 2017)

Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles. - Said Fathalla; Sahar Vahdati; Sören Auer; Christoph Lange 002 (TPDL, 2017)

SAVE-SD 2017: Third Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Data. - Alejandra N. González-Beltrán; Francesco Osborne; Silvio Peroni; Sahar Vahdati (WWW (Companion Volume), 2017)

Metadata Analysis of Scholarly Events of Computer Science, Physics, Engineering, and Mathematics. - Said Fathalla; Sahar Vahdati; Sören Auer; Christoph Lange 002 (TPDL, 2018)

Unveiling Scholarly Communities over Knowledge Graphs. - Sahar Vahdati; Guillermo Palma; Rahul Jyoti Nath; Christoph Lange 002; Sören Auer; Maria-Esther Vidal (TPDL, 2018)

SemSur: A Core Ontology for the Semantic Representation of Research Findings. - Said Fathalla; Sahar Vahdati; Sören Auer; Christoph Lange 002 (SEMANTiCS, 2018)

Reasoning Under Situation Awareness in a Temporal Database. - Andreas Behrend; Dieter Gawlick; Sahar Vahdati; Zhen Hua Liu (IRC, 2018)

SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform. - Rebaz Omar; Sahar Vahdati; Christoph Lange 002; Maria-Esther Vidal; Andreas Behrend (ICSC, 2018)

Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events. - Andreas Behrend; Sahar Vahdati; Christoph Lange 002; Christiane Engels (SAVE-SD@WWW, 2018)

Semantic Representation of Scientific Publications. - Sahar Vahdati; Said Fathalla; Sören Auer; Christoph Lange 002; Maria-Esther Vidal (TPDL, 2019)

Improving Access to Science for Social Good. - Mehdi Ali; Sahar Vahdati; Shruti Singh; Sourish Dasgupta; Jens Lehmann 001 (PKDD/ECML Workshops (1), 2019)

The scientific events ontology of the OpenResearch.org curation platform. - Said Fathalla; Sahar Vahdati; Sören Auer; Christoph Lange 002 (SAC, 2019)

SEO: A Scientific Events Data Model. - Said Fathalla; Sahar Vahdati; Christoph Lange 002; Sören Auer (ISWC (2), 2019)

Soft Marginal TransE for Scholarly Knowledge Graph Completion. - Mojtaba Nayyeri; Sahar Vahdati; Jens Lehmann 001; Hamed Shariat Yazdi (CoRR, 2019)

Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function. - Mojtaba Nayyeri; Xiaotian Zhou; Sahar Vahdati; Hamed Shariat Yazdi; Jens Lehmann 001 (CoRR, 2019)

Editorial: Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation). - Alejandra N. González-Beltrán; Francesco Osborne; Silvio Peroni; Sahar Vahdati (Data Sci., 2019)

Collaborative Integration, Publishing and Analysis of Distributed Scholarly Metadata - Sahar Vahdati (2019)

An Evolutionary Algorithm for Rule Learning over Knowledge Graphs. - Lianlong Wu; Emanuel Sallinger; Evgeny Sherkhonov; Sahar Vahdati; Georg Gottlob (KR4L@ECAI, 2020)

Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. - Chengjin Xu; Mojtaba Nayyeri; Sahar Vahdati; Jens Lehmann 001 (KR4L@ECAI, 2020)

Ontology Design for Pharmaceutical Research Outcomes. - Zeynep Say; Said Fathalla; Sahar Vahdati; Jens Lehmann 001; Sören Auer (TPDL, 2020)

Embedding-Based Recommendations on Scholarly Knowledge Graphs. - Mojtaba Nayyeri; Sahar Vahdati; Xiaotian Zhou; Hamed Shariat Yazdi; Jens Lehmann 001 (ESWC, 2020)

Semantic Representation of Physics Research Data. - Aysegul Say; Said Fathalla; Sahar Vahdati; Jens Lehmann 001; Sören Auer (KEOD, 2020)

Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function. - Mojtaba Nayyeri; Xiaotian Zhou; Sahar Vahdati; Reza Izanloo; Hamed Shariat Yazdi; Jens Lehmann 001 (IJCNN, 2020)

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. - Mojtaba Nayyeri; Chengjin Xu; Sahar Vahdati; Nadezhda Vassilyeva; Emanuel Sallinger; Hamed Shariat Yazdi; Jens Lehmann 001 (ISWC (1), 2020)

3D Learning and Reasoning in Link Prediction Over Knowledge Graphs. - Mojtaba Nayyeri; Mirza Mohtashim Alam; Jens Lehmann 001; Sahar Vahdati (IEEE Access, 2020)

Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations. - Mojtaba Nayyeri; Chengjin Xu; Jens Lehmann 001; Sahar Vahdati (CoRR, 2020)

Scholarly event characteristics in four fields of science: a metrics-based analysis. - Said Fathalla; Sahar Vahdati; Christoph Lange 002; Sören Auer (Scientometrics, 2020)

Knowledge Graphs: The Layered Perspective. - Luigi Bellomarini; Emanuel Sallinger; Sahar Vahdati (Knowledge Graphs and Big Data Processing, 2020)

Reasoning in Knowledge Graphs: An Embeddings Spotlight. - Luigi Bellomarini; Emanuel Sallinger; Sahar Vahdati (Knowledge Graphs and Big Data Processing, 2020)

5* Knowledge Graph Embeddings with Projective Transformations. - Mojtaba Nayyeri; Sahar Vahdati; Can Aykul; Jens Lehmann 001 (AAAI, 2021)

Pattern-Aware and Noise-Resilient Embedding Models. - Mojtaba Nayyeri; Sahar Vahdati; Emanuel Sallinger; Mirza Mohtashim Alam; Hamed Shariat Yazdi; Jens Lehmann 001 (ECIR (1), 2021)

Knowledge Graph Representation Learning using Ordinary Differential Equations. - Mojtaba Nayyeri; Chengjin Xu; Franca Hoffmann; Mirza Mohtashim Alam; Jens Lehmann 001; Sahar Vahdati (EMNLP (1), 2021)

A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. - Patrick Westphal; Sahar Vahdati; Jens Lehmann 001 (ILP, 2021)

Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. - Mojtaba Nayyeri; Chengjin Xu; Yadollah Yaghoobzadeh; Sahar Vahdati; Mirza Mohtashim Alam; Hamed Shariat Yazdi; Jens Lehmann 001 (PAKDD (3), 2021)

Sleeping Beauties of Coronavirus Research. - Mohsen Fazeli-Varzaneh; Ali Ghorbi; Marcel Ausloos; Emanuel Sallinger; Sahar Vahdati (IEEE Access, 2021)

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. - Mojtaba Nayyeri; Gökce Müge Cil; Sahar Vahdati; Francesco Osborne; Andrey Kravchenko; Simone Angioni; Angelo A. Salatino; Diego Reforgiato Recupero; Enrico Motta; Jens Lehmann 001 (IEEE Access, 2021)

Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. - Chengjin Xu; Mojtaba Nayyeri; Sahar Vahdati; Jens Lehmann 001 (CoRR, 2021)

Trans4E: Link prediction on scholarly knowledge graphs. - 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 001 (Neurocomputing, 2021)

Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade. - Arthur Lackner; Said Fathalla; Mojtaba Nayyeri; Andreas Behrend; Rainer Manthey; Sören Auer; Jens Lehmann 001; Sahar Vahdati (Scientometrics, 2021)

A comprehensive quality assessment framework for scientific events. - Sahar Vahdati; Said Fathalla; Christoph Lange 002; Andreas Behrend; Aysegul Say; Zeynep Say; Sören Auer (Scientometrics, 2021)

Towards Hybrid Logic-based and Embedding-based Reasoning on Financial Knowledge Graphs. - Adriano Vlad; Sahar Vahdati; Mojtaba Nayyeri; Luigi Bellomarini; Emanuel Sallinger (EDBT/ICDT Workshops, 2022)

Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion. - Mojtaba Nayyeri; Sahar Vahdati; Md Tansen Khan; Mirza Mohtashim Alam; Lisa Wenige; Andreas Behrend; Jens Lehmann 001 (ESWC, 2022)

Rule Learning over Knowledge Graphs with Genetic Logic Programming. - Lianlong Wu; Emanuel Sallinger; Evgeny Sherkhonov; Sahar Vahdati; Georg Gottlob (ICDE, 2022)

μ-Bench: Real-world Micro Benchmarking for SPARQL Query Processing over Knowledge Graphs. - Muhammad Saleem 002; Adnan Akhter; Sahar Vahdati; Axel-Cyrille Ngonga Ngomo (IJCKG, 2022)

Language Model Guided Knowledge Graph Embeddings. - Mirza Mohtashim Alam; Md. Rashad Al Hasan Rony; Mojtaba Nayyeri; Karishma Mohiuddin; M. S. T. Mahfuja Akter; Sahar Vahdati; Jens Lehmann 001 (IEEE Access, 2022)

Language Model-driven Negative Sampling. - Mirza Mohtashim Alam; Md. Rashad Al Hasan Rony; Semab Ali; Jens Lehmann 001; Sahar Vahdati (CoRR, 2022)

ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion. - Mojtaba Moattari; Sahar Vahdati; Farhana H. Zulkernine (CoRR, 2022)

Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice. - Luigi Bellomarini; Ruslan R. Fayzrakhmanov; Georg Gottlob; Andrey Kravchenko; Eleonora Laurenza; Yavor Nenov; Stéphane Reissfelder; Emanuel Sallinger; Evgeny Sherkhonov; Sahar Vahdati; Lianlong Wu (Future Gener. Comput. Syst., 2022)

Retention is All You Need. - Karishma Mohiuddin; Mirza Ariful Alam; Mirza Mohtashim Alam; Pascal Welke; Michael Martin 001; Jens Lehmann 001; Sahar Vahdati (CIKM, 2023)

Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. - Jens Lehmann 001; Sébastien Ferré; Sahar Vahdati (ECAI, 2023)

Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. - Bowen Song; Chengjin Xu; Kossi Amouzouvi; Maocai Wang; Jens Lehmann 001; Sahar Vahdati (ECML/PKDD (3), 2023)

Utilizing Transformers on OCT Imagery and Metadata for Treatment Response Prediction in Macular Edema Patients. - Sahar Vahdati; Deepankan Bharathi Nagaraj; Maximilian Bryan; Sobhan Moazemi; Sabine Gründer-Fahrer; Michael Martin 001 (SCIA (2), 2023)

Unsupervised feature selection based on variance-covariance subspace distance. - Saeed Karami; Farid Saberi-Movahed; Prayag Tiwari; Pekka Marttinen; Sahar Vahdati (Neural Networks, 2023)

Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion. - Kossi Amouzouvi; Bowen Song; Sahar Vahdati; Jens Lehmann 001 (LREC/COLING, 2024)

X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement Learning. - Farhad Safaei; Milos Nenadovic; Roman Liessner; Raphael Theilen; Jakob Wittenstein; Jens Lehmann 001; Sahar Vahdati (ECAI, 2024)

Evaluating Large Language Model Literature Reviews in Interdisciplinary Science: A Systems Biology Perspective. - Charvi Jain; Sahar Vahdati; Nandu Gopan; Ivo F. Sbalzarini; Jens Lehmann 001 (EKAW (Companion), 2024)

Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. - Jens Lehmann 001; Antonello Meloni; Enrico Motta; Francesco Osborne; Diego Reforgiato Recupero; Angelo Antonio Salatino; Sahar Vahdati (ESWC (1), 2024)

Assessing Large Language Models for SPARQL Query Generation in Scientific Question Answering. - Antonello Meloni; Diego Reforgiato Recupero; Francesco Osborne; Angelo A. Salatino; Enrico Motta; Sahar Vahdati; Jens Lehmann 001 (HGAIS@ISWC, 2024)

A Study of LFT Embeddings in the Second Order Clifford Algebra Cl(R²,º). - Kossi Amouzouvi; Sahar Vahdati; Bowen Song; Bernard O. Bainson; Nur A. Zarin Nishat; Jens Lehmann 001 (IEEE Access, 2024)

QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine Optimization. - Fardin Rastakhiz; Mahdi Eftekhari; Sahar Vahdati (IEEE Access, 2024)

Why do you cite? An investigation on citation intents and decision-making classification processes. - Lorenzo Paolini; Sahar Vahdati; Angelo Di Iorio; Robert Wardenga; Ivan Heibi; Silvio Peroni (CoRR, 2024)

Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation. - Farid Saberi-Movahed; Bitasta Biswas; Prayag Tiwari; Jens Lehmann 001; Sahar Vahdati (Expert Syst. Appl., 2024)

Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources. - Jens Lehmann 001; Dhananjay Bhandiwad; Preetam Gattogi; Sahar Vahdati (Trans. Assoc. Comput. Linguistics, 2024)

A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis. - Prayag Tiwari; Farid Saberi Movahed; Saeed Karami; Farshad Saberi-Movahed; Jens Lehmann 001; Sahar Vahdati (Trans. Mach. Learn. Res., 2024)

ICU Mechanical Ventilation Data Imputation. - Prathmesh Dudhe; Jason Li; Muhammad Hamza Yousuf; Jens Lehmann 001; Sahar Vahdati (AIAI (3), 2025)

SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations. - Kossi Amouzouvi; Yashrajsinh Chudasama; Disha Purohit; Ariam Rivas; Bowen Song; Jens Lehmann 001; Sahar Vahdati; Maria-Esther Vidal (IEEE Access, 2025)

BALI - A Benchmark for Accelerated Language Model Inference. - Lena Jurkschat; Preetam Gattogi; Sahar Vahdati; Jens Lehmann 001 (IEEE Access, 2025)

SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings. - Farhana Keya; Gollam Rabby; Prasenjit Mitra; Sahar Vahdati; Sören Auer; Mohamad Yaser Jaradeh (CoRR, 2025)

IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards. - Muhammad Hamza Yousuf; Jason Li; Sahar Vahdati; Raphael Theilen; Jakob Wittenstein; Jens Lehmann 001 (CoRR, 2025)

SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs. - Kossi Amouzouvi; Bowen Song; Andrea Coletta; Luigi Bellomarini; Jens Lehmann 001; Sahar Vahdati (CoRR, 2025)

Aligning Knowledge Graphs and Language Models for Factual Accuracy. - Nur A. Zarin Nishat; Andrea Coletta; Luigi Bellomarini; Kossi Amouzouvi; Jens Lehmann 001; Sahar Vahdati (CoRR, 2025)