A New Sparse Learning Machine. - Mojtaba Nayyeri; Alaleh Maskooki; Reza Monsefi (Neural Process. Lett., 2017)

Universal Approximation by Using the Correntropy Objective Function. - Mojtaba Nayyeri; Hadi Sadoghi Yazdi; Alaleh Maskooki; Modjtaba Rouhani (IEEE Trans. Neural Networks Learn. Syst., 2018)

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)

LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules. - Mojtaba Nayyeri; Chengjin Xu; Jens Lehmann 001; Hamed Shariat Yazdi (CoRR, 2019)

On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score. - Mojtaba Nayyeri; Chengjin Xu; Yadollah Yaghoobzadeh; Hamed Shariat Yazdi; Jens Lehmann 001 (CoRR, 2019)

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. - Chengjin Xu; Mojtaba Nayyeri; Fouad Alkhoury; Jens Lehmann 001; Hamed Shariat Yazdi (CoRR, 2019)

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. - Chengjin Xu; Mojtaba Nayyeri; Fouad Alkhoury; Hamed Shariat Yazdi; Jens Lehmann 001 (COLING, 2020)

Knowledge Graph Embeddings in Geometric Algebras. - Chengjin Xu; Mojtaba Nayyeri; Yung-Yu Chen; Jens Lehmann 001 (COLING, 2020)

The Effect of Rule Injectionin a Leakage Free Dataset. - Mirza Mohtashim Alam; Mojtaba Nayyeri; Chengjin Xu; Md. Rashad Al Hasan Rony; Hamed Shariat Yazdi; Afshin Sadeghi; Jens Lehmann 001 (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)

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

Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding. - Chenjin Xu; Mojtaba Nayyeri; Fouad Alkhoury; 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)

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)

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. - Chengjin Xu; Yung-Yu Chen; Mojtaba Nayyeri; Jens Lehmann 001 (NAACL-HLT, 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)

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)

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)

Ultrahyperbolic Knowledge Graph Embeddings. - Bo Xiong; Shichao Zhu; Mojtaba Nayyeri; Chengjin Xu; Shirui Pan; Chuan Zhou 001; Steffen Staab (KDD, 2022)

Hyperbolic Embedding Inference for Structured Multi-Label Prediction. - Bo Xiong; Michael Cochez; Mojtaba Nayyeri; Steffen Staab (NeurIPS, 2022)

Faithful Embeddings for Eℒ++ Knowledge Bases. - Bo Xiong; Nico Potyka; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab (ISWC, 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)

Box Embeddings for the Description Logic EL++. - Bo Xiong; Nico Potyka; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab (CoRR, 2022)

Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces. - Mojtaba Nayyeri; Zihao Wang; Mst. Mahfuja Akter; Mirza Mohtashim Alam; Md. Rashad Al Hasan Rony; Jens Lehmann 001; Steffen Staab (CoRR, 2022)

Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories. - Mojtaba Nayyeri; Bo Xiong; Majid Mohammadi; Mst. Mahfuja Akter; Mirza Mohtashim Alam; Jens Lehmann 001; Steffen Staab (ACL (Findings), 2023)

Shrinking Embeddings for Hyper-Relational Knowledge Graphs. - Bo Xiong; Mojtaba Nayyeri; Shirui Pan; Steffen Staab (ACL (1), 2023)

Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. - Bo Xiong; Mojtaba Nayyeri; Daniel Daza; Michael Cochez (CIKM, 2023)

Can Pattern Learning Enhance Complex Logical Query Answering? - Yunjie He; Mojtaba Nayyeri; Bo Xiong; Yuqicheng Zhu; Evgeny Kharlamov; Steffen Staab (ISWC (Posters/Demos/Industry), 2023)

Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces. - Mojtaba Nayyeri; Zihao Wang; Mst. Mahfuja Akter; Mirza Mohtashim Alam; Md. Rashad Al Hasan Rony; Jens Lehmann 001; Steffen Staab (ISWC, 2023)

Towards Statistical Reasoning with Ontology Embeddings. - Yuqicheng Zhu; Nico Potyka; Bo Xiong; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2023)

Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. - Cosimo Gregucci; Mojtaba Nayyeri; Daniel Hernández 002; Steffen Staab (WWW, 2023)

Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs. - Yunjie He; Mojtaba Nayyeri; Bo Xiong; Evgeny Kharlamov; Steffen Staab (CoRR, 2023)

Geometric Relational Embeddings: A Survey. - Bo Xiong; Mojtaba Nayyeri; Ming Jin 005; Yunjie He; Michael Cochez; Shirui Pan; Steffen Staab (CoRR, 2023)

Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion. - Chengjin Xu; Mojtaba Nayyeri; Yung-Yu Chen; Jens Lehmann 001 (IEEE Trans. Knowl. Data Eng., 2023)

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. - Mojtaba Nayyeri; Chengjin Xu; Mirza Mohtashim Alam; Jens Lehmann 001; Hamed Shariat Yazdi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. - Jiaxin Pan 003; Mojtaba Nayyeri; Yinan Li; Steffen Staab (AAAI, 2024)

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. - Bo Xiong; Mojtaba Nayyeri; Linhao Luo; Zihao Wang; Shirui Pan; Steffen Staab (AAAI, 2024)

Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. - Yunjie He; Daniel Hernández 002; Mojtaba Nayyeri; Bo Xiong; Yuqicheng Zhu; Evgeny Kharlamov; Steffen Staab (ECAI, 2024)

Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. - Yuqicheng Zhu; Nico Potyka; Mojtaba Nayyeri; Bo Xiong; Yunjie He; Evgeny Kharlamov; Steffen Staab (EMNLP (Findings), 2024)

Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving. - Mehdi Azarafza; Mojtaba Nayyeri; Charles Steinmetz; Steffen Staab; Achim Rettberg (ICCMA, 2024)

Correntropy-Based Constructive One Hidden Layer Neural Network. - Mojtaba Nayyeri; Modjtaba Rouhani; Hadi Sadoghi Yazdi; Marko M. Mäkelä; Alaleh Maskooki; Yury Nikulin (Algorithms, 2024)

Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. - Yuqicheng Zhu; Nico Potyka; Bo Xiong; Trung-Kien Tran; Mojtaba Nayyeri; Evgeny Kharlamov; Steffen Staab (CoRR, 2024)

Expanding Expressivity in Transformer Models with MöbiusAttention. - Anna-Maria Halacheva; Mojtaba Nayyeri; Steffen Staab (CoRR, 2024)

Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction. - Bo Xiong; Mojtaba Nayyeri; Michael Cochez; Steffen Staab (DaRUS, 2024)

Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24). - Bo Xiong; Mojtaba Nayyeri; Linhao Luo; Zihao Wang; Shirui Pan; Steffen Staab (DaRUS, 2024)

Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs. - Bo Xiong; Mojtaba Nayyeri; Shirui Pan; Steffen Staab (DaRUS, 2024)

Code for Faithful Embeddings for EL++ Knowledge Bases. - Bo Xiong; Nico Potyka; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab (DaRUS, 2024)

Code for Ultrahyperbolic Knowledge Graph Embeddings. - Bo Xiong; Shichao Zhu; Mojtaba Nayyeri; Chengjin Xu; Shirui Pan; Steffen Staab (DaRUS, 2024)

SEMMA: A Semantic Aware Knowledge Graph Foundation Model. - Arvindh Arun; Sumit Kumar; Mojtaba Nayyeri; Bo Xiong; Ponnurangam Kumaraguru; Antonio Vergari; Steffen Staab (CoRR, 2025)

Retrieval-Augmented Generation of Ontologies from Relational Databases. - Mojtaba Nayyeri; Athish A Yogi; Nadeen Fathallah; Ratan Bahadur Thapa; Hans-Michael Tautenhahn; Anton Schnurpel; Steffen Staab (CoRR, 2025)

Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic Reasoning. - Mehdi Azarafza; Mojtaba Nayyeri; Faezeh Pasandideh; Steffen Staab; Achim Rettberg (CoRR, 2025)

Towards Foundation Model on Temporal Knowledge Graph Reasoning. - Jiaxin Pan 003; Mojtaba Nayyeri; Osama Mohammed; Daniel Hernández 002; Rongchuan Zhang; Cheng Cheng; Steffen Staab (CoRR, 2025)

Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning. - Osama Mohammed; Jiaxin Pan 003; Mojtaba Nayyeri; Daniel Hernández 002; Steffen Staab (CoRR, 2025)