Mojtaba Nayyeri
Mojtaba Nayyeri
PhD student, University Of Bonn
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Zitiert von
Zitiert von
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
TeRo: A time-aware knowledge graph embedding via temporal rotation
C Xu, M Nayyeri, F Alkhoury, HS Yazdi, J Lehmann
COLING 2020, 2020
Embedding-based recommendations on scholarly knowledge graphs
M Nayyeri, S Vahdati, X Zhou, H Shariat Yazdi, J Lehmann
European Semantic Web Conference, 255-270, 2020
5* knowledge graph embeddings with projective transformations
M Nayyeri, S Vahdati, C Aykul, J Lehmann
AAAI 2021, 2020
Trans4E: Link prediction on scholarly knowledge graphs
M Nayyeri, GM Cil, S Vahdati, F Osborne, M Rahman, S Angioni, ...
Neurocomputing 461, 530-542, 2021
Metaresearch recommendations using knowledge graph embeddings
V Henk, S Vahdati, M Nayyeri, M Ali, HS Yazdi, J Lehmann
RecNLP workshop of AAAI Conference, 2019
Logicenn: A neural based knowledge graphs embedding model with logical rules
M Nayyeri, C Xu, MM Alam, J Lehmann, HS Yazdi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 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
Soft marginal transe for scholarly knowledge graph completion
M Nayyeri, S Vahdati, J Lehmann, HS Yazdi
arXiv preprint arXiv:1904.12211, 2019
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
Knowledge graph embeddings in geometric algebras
C Xu, M Nayyeri, YY Chen, J Lehmann
COLING 2020, 2020
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, ...
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 77-89, 2021
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
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
Cancer classification by correntropy-based sparse compact incremental learning machine
M Nayyeri, HS Noghabi
Gene Reports 3, 31-38, 2016
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
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
Knowledge Graph Representation Learning using Ordinary Differential Equations
M Nayyeri, C Xu, F Hoffmann, MM Alam, J Lehmann, S Vahdati
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
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
Towards Hybrid Logic-based and Embedding-based Reasoning on Financial Knowledge Graphs.
A Vlad, S Vahdati, M Nayyeri, L Bellomarini, E Sallinger
EDBT/ICDT Workshops, 2022
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