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ORCIDMojtaba Nayyeri
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2020 – today
- 2024
[j10]Mojtaba Nayyeri, Modjtaba Rouhani
, Hadi Sadoghi Yazdi, Marko M. Mäkelä, Alaleh Maskooki, Yury Nikulin:
Correntropy-Based Constructive One Hidden Layer Neural Network. Algorithms 17(1): 49 (2024)- [c29]Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab:
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. AAAI 2024: 8913-8920 - [c28]Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab:
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. AAAI 2024: 9205-9213 - [c27]Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. ECAI 2024: 4279-4286 - [i25]Mehdi Azarafza, Mojtaba Nayyeri, Charles Steinmetz, Steffen Staab, Achim Rettberg:
Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving. CoRR abs/2402.13602 (2024) - [i24]Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. CoRR abs/2407.09212 (2024) - [i23]Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, Steffen Staab:
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. CoRR abs/2407.11821 (2024) - [i22]Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. CoRR abs/2408.08226 (2024) - [i21]Anna-Maria Halacheva, Mojtaba Nayyeri, Steffen Staab:
Expanding Expressivity in Transformer Models with MöbiusAttention. CoRR abs/2409.12175 (2024) - 2023
- [j9]Mojtaba Nayyeri, Chengjin Xu, Mirza Mohtashim Alam, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7050-7062 (2023) - [j8]Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35(5): 4838-4851 (2023) - [c26]Mojtaba Nayyeri, Bo Xiong, Majid Mohammadi, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Jens Lehmann, Steffen Staab:
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories. ACL (Findings) 2023: 7165-7179 - [c25]Bo Xiong, Mojtaba Nayyeri, Shirui Pan, Steffen Staab:
Shrinking Embeddings for Hyper-Relational Knowledge Graphs. ACL (1) 2023: 13306-13320 - [c24]Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez:
Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. CIKM 2023: 5228-5231 - [c23]Yunjie He, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab:
Can Pattern Learning Enhance Complex Logical Query Answering? ISWC (Posters/Demos/Industry) 2023 - [c22]Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab:
Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces. ISWC 2023: 388-407 - [c21]Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov:
Towards Statistical Reasoning with Ontology Embeddings. ISWC (Posters/Demos/Industry) 2023 - [c20]Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab:
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. WWW 2023: 2600-2610 - [i20]Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab:
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. CoRR abs/2302.06229 (2023) - [i19]Yunjie He, Mojtaba Nayyeri, Bo Xiong, Evgeny Kharlamov, Steffen Staab:
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs. CoRR abs/2303.11858 (2023) - [i18]Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab:
Geometric Relational Embeddings: A Survey. CoRR abs/2304.11949 (2023) - [i17]Bo Xiong, Mojtaba Nayyeri, Shirui Pan, Steffen Staab:
Shrinking Embeddings for Hyper-Relational Knowledge Graphs. CoRR abs/2306.02199 (2023) - [i16]Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab:
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. CoRR abs/2312.09219 (2023) - [i15]Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab:
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. CoRR abs/2312.13680 (2023) - 2022
- [j7]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) - [c19]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 - [c18]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 - [c17]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. KDD 2022: 2130-2139 - [c16]Bo Xiong, Michael Cochez, Mojtaba Nayyeri, Steffen Staab:
Hyperbolic Embedding Inference for Structured Multi-Label Prediction. NeurIPS 2022 - [c15]Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab:
Faithful Embeddings for Eℒ++ Knowledge Bases. ISWC 2022: 22-38 - [i14]Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab:
Box Embeddings for the Description Logic EL++. CoRR abs/2201.09919 (2022) - [i13]Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab:
Ultrahyperbolic Knowledge Graph Embeddings. CoRR abs/2206.00449 (2022) - [i12]Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab:
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces. CoRR abs/2208.02743 (2022) - 2021
- [j6]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) - [j5]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) - [j4]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) - [c14]Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. AAAI 2021: 9064-9072 - [c13]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 - [c12]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 - [c11]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. IJCNN 2021: 1-8 - [c10]Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann:
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. NAACL-HLT 2021: 2569-2578 - [c9]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 - [e1]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] - [i11]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. CoRR abs/2104.05003 (2021) - [i10]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
- [j3]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) - [c8]Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Knowledge Graph Embeddings in Geometric Algebras. COLING 2020: 530-544 - [c7]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. COLING 2020: 1583-1593 - [c6]Mirza Mohtashim Alam, Mojtaba Nayyeri, Chengjin Xu, Md. Rashad Al Hasan Rony, Hamed Shariat Yazdi, Afshin Sadeghi, Jens Lehmann:
The Effect of Rule Injectionin a Leakage Free Dataset. KR4L@ECAI 2020: 28-35 - [c5]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. KR4L@ECAI 2020: 36-42 - [c4]Mojtaba Nayyeri, Sahar Vahdati, Xiaotian Zhou, Hamed Shariat Yazdi, Jens Lehmann:
Embedding-Based Recommendations on Scholarly Knowledge Graphs. ESWC 2020: 255-270 - [c3]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 - [c2]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 - [c1]Chenjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding. ISWC (1) 2020: 654-671 - [i9]Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. CoRR abs/2006.04986 (2020) - [i8]Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Knowledge Graph Embeddings in Geometric Algebras. CoRR abs/2010.00989 (2020) - [i7]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. CoRR abs/2010.01029 (2020) - [i6]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
- [i5]Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi:
Soft Marginal TransE for Scholarly Knowledge Graph Completion. CoRR abs/1904.12211 (2019) - [i4]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) - [i3]Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules. CoRR abs/1908.07141 (2019) - [i2]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann:
On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score. CoRR abs/1909.00519 (2019) - [i1]Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi:
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. CoRR abs/1911.07893 (2019) - 2018
- [j2]Mojtaba Nayyeri, Hadi Sadoghi Yazdi, Alaleh Maskooki, Modjtaba Rouhani:
Universal Approximation by Using the Correntropy Objective Function. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4515-4521 (2018) - 2017
- [j1]Mojtaba Nayyeri, Alaleh Maskooki, Reza Monsefi:
A New Sparse Learning Machine. Neural Process. Lett. 46(1): 15-28 (2017)
Coauthor Index
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last updated on 2024-10-28 20:14 CET by the dblp team
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