Mojtaba Nayyeri
Mojtaba Nayyeri
PhD student, University Of Bonn
Verified email at cs.uni-bonn.de
Title
Cited by
Cited by
Year
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
14*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
92019
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
92017
Soft marginal transe for scholarly knowledge graph completion
M Nayyeri, S Vahdati, J Lehmann, HS Yazdi
arXiv preprint arXiv:1904.12211, 2019
52019
On the knowledge graph completion using translation based embedding: the loss is as important as the score
M Nayyeri, C Xu, Y Yaghoobzadeh, HS Yazdi, J Lehmann
arXiv preprint arXiv:1909.00519, 2019
52019
Cancer classification by correntropy-based sparse compact incremental learning machine
M Nayyeri, HS Noghabi
Gene Reports 3, 31-38, 2016
52016
Knowledge graph embeddings in geometric algebras
C Xu, M Nayyeri, YY Chen, J Lehmann
arXiv preprint arXiv:2010.00989, 2020
32020
Embedding-based recommendations on scholarly knowledge graphs
M Nayyeri, S Vahdati, X Zhou, HS Yazdi, J Lehmann
European Semantic Web Conference, 255-270, 2020
32020
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding
M Nayyeri, C Xu, Y Yaghoobzadeh, HS Yazdi, J Lehmann
arXiv preprint arXiv:1909.00519, 2019
32019
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
32019
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
22020
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
12020
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
12020
5* Knowledge Graph Embeddings with Projective Transformations
M Nayyeri, S Vahdati, C Aykul, J Lehmann
arXiv preprint arXiv:2006.04986, 2020
12020
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
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings
C Xu, M Nayyeri, S Vahdati, J Lehmann
arXiv preprint arXiv:2104.05003, 2021
2021
Pattern-Aware and Noise-Resilient Embedding Models
JL Mojtaba Nayyeri ,Sahar Vahdati, Emanuel Sallinger, Mirza Mohtashim Alam ...
European Conference on Information Retrieval, 483-496, 2021
2021
Link Prediction using Numerical Weights for Knowledge Graph Completion within the Scholarly Domain
M Nayyeri, GM Cil, S Vahdati, F Osborne, A Kravchenko, S Angioni, ...
2020
3D Learning and Reasoning in Link Prediction Over Knowledge Graphs
M Nayyeri, MM Alam, J Lehmann, S Vahdati
IEEE Access 8, 196459-196471, 2020
2020
Motif Learning in Knowledge Graphsusing Trajectories Of Differential Equations
M Nayyeri, C Xu, J Lehmann, S Vahdati
arXiv preprint arXiv:2010.06684, 2020
2020
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Articles 1–20