default search action
Mojtaba Nayyeri
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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) - [c30]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 - [c29]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 - [c28]Yunjie He
Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. ECAI 2024: 4279-4286 - [c27]Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab:
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. EMNLP (Findings) 2024: 334-354 - [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
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
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
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
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
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. WWW 2023: 2600-2610 - [i20]Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández
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
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
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
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
Trans4E: Link prediction on scholarly knowledge graphs. Neurocomputing 461: 530-542 (2021) - [j4]Arthur Lackner, Said Fathalla
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
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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: