Mojtaba Nayyeri
Mojtaba Nayyeri
PhD student, University Of Bonn
Bestätigte E-Mail-Adresse bei cs.uni-bonn.de
Titel
Zitiert von
Zitiert von
Jahr
Temporal knowledge graph completion based on time series gaussian embedding
C Xu, M Nayyeri, F Alkhoury, H Yazdi, J Lehmann
International Semantic Web Conference, 654-671, 2020
24*2020
Metaresearch recommendations using knowledge graph embeddings
V Henk, S Vahdati, M Nayyeri, M Ali, HS Yazdi, J Lehmann
RecNLP workshop of AAAI Conference, 2019
132019
Tero: A time-aware knowledge graph embedding via temporal rotation
C Xu, M Nayyeri, F Alkhoury, HS Yazdi, J Lehmann
arXiv preprint arXiv:2010.01029, 2020
112020
Universal approximation by using the correntropy objective function
M Nayyeri, HS Yazdi, A Maskooki, M Rouhani
IEEE transactions on neural networks and learning systems 29 (9), 4515-4521, 2017
112017
Embedding-based recommendations on scholarly knowledge graphs
M Nayyeri, S Vahdati, X Zhou, HS Yazdi, J Lehmann
European Semantic Web Conference, 255-270, 2020
102020
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models.
M Nayyeri, C Xu, Y Yaghoobzadeh, S Vahdati, MM Alam, HS Yazdi, ...
PAKDD (3), 77-89, 2021
8*2021
Soft marginal transe for scholarly knowledge graph completion
M Nayyeri, S Vahdati, J Lehmann, HS Yazdi
arXiv preprint arXiv:1904.12211, 2019
82019
Knowledge graph embeddings in geometric algebras
C Xu, M Nayyeri, YY Chen, J Lehmann
arXiv preprint arXiv:2010.00989, 2020
72020
Trans4E: Link prediction on scholarly knowledge graphs
M Nayyeri, GM Cil, S Vahdati, F Osborne, M Rahman, S Angioni, ...
Neurocomputing, 2021
62021
LogicENN: a neural based knowledge graphs embedding model with logical rules
M Nayyeri, C Xu, J Lehmann, HS Yazdi
arXiv preprint arXiv:1908.07141, 2019
62019
Cancer classification by correntropy-based sparse compact incremental learning machine
M Nayyeri, HS Noghabi
Gene Reports 3, 31-38, 2016
62016
Fantastic knowledge graph embeddings and how to find the right space for them
M Nayyeri, C Xu, S Vahdati, N Vassilyeva, E Sallinger, HS Yazdi, ...
International Semantic Web Conference, 438-455, 2020
42020
Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function
M Nayyeri, X Zhou, S Vahdati, R Izanloo, HS Yazdi, J Lehmann
2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020
42020
5* Knowledge Graph Embeddings with Projective Transformations
M Nayyeri, S Vahdati, C Aykul, J Lehmann
arXiv preprint arXiv:2006.04986, 2020
42020
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain
M Nayyeri, GM Cil, S Vahdati, F Osborne, A Kravchenko, S Angioni, ...
IEEE Access 9, 116002-116014, 2021
1*2021
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings
C Xu, YY Chen, M Nayyeri, J Lehmann
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
12021
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function
M Nayyeri, X Zhou, S Vahdati, HS Yazdi, J Lehmann
arXiv preprint arXiv:1907.05336, 2019
12019
Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade
A Lackner, S Fathalla, M Nayyeri, A Behrend, R Manthey, S Auer, ...
Scientometrics 126 (9), 8129-8151, 2021
2021
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings
C Xu, M Nayyeri, S Vahdati, J Lehmann
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
2021
Pattern-Aware and Noise-Resilient Embedding Models
M Nayyeri, S Vahdati, E Sallinger, MM Alam, HS Yazdi, J Lehmann
European Conference on Information Retrieval, 483-496, 2021
2021
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