Mojtaba Nayyeri
Mojtaba Nayyeri
PhD student, University Of Bonn
Bestätigte E-Mail-Adresse bei cs.uni-bonn.de
Titel
Zitiert von
Zitiert von
Jahr
Metaresearch recommendations using knowledge graph embeddings
V Henk, S Vahdati, M Nayyeri, M Ali, HS Yazdi, J Lehmann
RecNLP workshop of AAAI Conference, 2019
72019
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
72017
Temporal knowledge graph embedding model based on additive time series decomposition
C Xu, M Nayyeri, F Alkhoury, HS Yazdi, J Lehmann
arXiv preprint arXiv:1911.07893, 2019
62019
Cancer classification by correntropy-based sparse compact incremental learning machine
M Nayyeri, HS Noghabi
Gene Reports 3, 31-38, 2016
52016
Soft marginal transe for scholarly knowledge graph completion
M Nayyeri, S Vahdati, J Lehmann, HS Yazdi
arXiv preprint arXiv:1904.12211, 2019
42019
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
CoRR, 2019
42019
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding
M Nayyeri, C Xu, Y Yaghoobzadeh, HS Yazdi, J Lehmann
22019
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
12020
Knowledge Graph Embeddings in Geometric Algebras
C Xu, M Nayyeri, YY Chen, J Lehmann
arXiv preprint arXiv:2010.00989, 2020
12020
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
12019
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
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
2020
3D Learning and Reasoning in Link Prediction over Knowledge Graphs
M Nayyeri, MM Alam, J Lehmann, S Vahdati
IEEE Access, 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
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
2020
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
2020
5* Knowledge Graph Embeddings with Projective Transformations
M Nayyeri, S Vahdati, C Aykul, J Lehmann
arXiv preprint arXiv:2006.04986, 2020
2020
Embedding-Based Recommendations on Scholarly Knowledge Graphs
M Nayyeri, S Vahdati, X Zhou, HS Yazdi, J Lehmann
European Semantic Web Conference, 255-270, 2020
2020
Temporal Knowledge Graph Completion based on Time Series Gaussian Embedding
M Nayyeri, F Alkhoury, H Yazdi, J Lehmann
arXiv preprint arXiv:1911.07893, 2019
2019
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
2019
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