Mojtaba Nayyeri

According to our database, Mojtaba Nayyeri authored at least 49 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving.

Mehdi Azarafza, Mojtaba Nayyeri, Charles Steinmetz, Steffen Staab, Achim Rettberg

CoRR, 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

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning.

Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces.

Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules.

Mojtaba Nayyeri, Chengjin Xu, Mirza Mohtashim Alam, Jens Lehmann, Hamed Shariat Yazdi

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion.

Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann

IEEE Trans. Knowl. Data Eng., May, 2023

Geometric Relational Embeddings: A Survey.

Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab

CoRR, 2023

Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs.

Yunjie He, Mojtaba Nayyeri, Bo Xiong, Evgeny Kharlamov, Steffen Staab

CoRR, 2023

Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models.

Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab

Proceedings of the ACM Web Conference 2023, 2023

Towards Statistical Reasoning with Ontology Embeddings.

Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov

Proceedings of the ISWC 2023 Posters, 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, Steffen Staab

Proceedings of the Semantic Web - ISWC 2023, 2023

Can Pattern Learning Enhance Complex Logical Query Answering?

Yunjie He, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab

Proceedings of the ISWC 2023 Posters, 2023

Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings.

Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Shrinking Embeddings for Hyper-Relational Knowledge Graphs.

Bo Xiong, Mojtaba Nayyeri, Shirui Pan, Steffen Staab

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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, Steffen Staab

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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, Steffen Staab

CoRR, 2022

Box Embeddings for the Description Logic EL++.

Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab

CoRR, 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

IEEE Access, 2022

Faithful Embeddings for <i>E</i>ℒ⁺⁺ Knowledge Bases.

Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab

Proceedings of the Semantic Web - ISWC 2022, 2022

Hyperbolic Embedding Inference for Structured Multi-Label Prediction.

Bo Xiong, Michael Cochez, Mojtaba Nayyeri, Steffen Staab

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ultrahyperbolic Knowledge Graph Embeddings.

Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Proceedings of the Semantic Web - 19th International Conference, 2022

Towards Hybrid Logic-based and Embedding-based Reasoning on Financial Knowledge Graphs.

Adriano Vlad, Sahar Vahdati, Mojtaba Nayyeri, Luigi Bellomarini, Emanuel Sallinger

Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

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, Sahar Vahdati

Scientometrics, 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

Neurocomputing, 2021

Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings.

Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann

CoRR, 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

IEEE Access, 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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings.

Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Knowledge Graph Representation Learning using Ordinary Differential Equations.

Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Pattern-Aware and Noise-Resilient Embedding Models.

Mojtaba Nayyeri, Sahar Vahdati, Emanuel Sallinger, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann

Proceedings of the Advances in Information Retrieval, 2021

5* Knowledge Graph Embeddings with Projective Transformations.

Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations.

Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Sahar Vahdati

CoRR, 2020

3D Learning and Reasoning in Link Prediction Over Knowledge Graphs.

Mojtaba Nayyeri, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati

IEEE Access, 2020

Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding.

Chenjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann

Proceedings of the Semantic Web - ISWC 2020, 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

Proceedings of the Semantic Web - ISWC 2020, 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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Embedding-Based Recommendations on Scholarly Knowledge Graphs.

Mojtaba Nayyeri, Sahar Vahdati, Xiaotian Zhou, Hamed Shariat Yazdi, Jens Lehmann

Proceedings of the Semantic Web - 17th International Conference, 2020

Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings.

Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann

Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 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

Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Knowledge Graph Embeddings in Geometric Algebras.

Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann

Proceedings of the 28th International Conference on Computational Linguistics, 2020

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation.

Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition.

Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, 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

CoRR, 2019

LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules.

Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, 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

CoRR, 2019

Soft Marginal TransE for Scholarly Knowledge Graph Completion.

Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi

CoRR, 2019

2018

Universal Approximation by Using the Correntropy Objective Function.

Mojtaba Nayyeri, Hadi Sadoghi Yazdi, Alaleh Maskooki, Modjtaba Rouhani

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

A New Sparse Learning Machine.

Mojtaba Nayyeri, Alaleh Maskooki, Reza Monsefi

Neural Process. Lett., 2017