Mojtaba Nayyeri

发表

Cancer Classification by Correntropy-Based Sparse Compact Incremental Learning Machine

Mojtaba Nayyeri, Hossein Sharifi Noghabi, 2015 .

Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function

Sahar Vahdati, Jens Lehmann, Mojtaba Nayyeri, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Soft Marginal TransE for Scholarly Knowledge Graph Completion pdf

Jens Lehmann, Sahar Vahdati, Mojtaba Nayyeri, 2019, ArXiv.

Embedding-Based Recommendations on Scholarly Knowledge Graphs

Sahar Vahdati, Xiaotian Zhou, Jens Lehmann, 2020, ESWC.

3D Learning and Reasoning in Link Prediction Over Knowledge Graphs

Jens Lehmann, Mojtaba Nayyeri, Mirza Mohtashim Alam, 2020, IEEE Access.

A New Sparse Learning Machine

Reza Monsefi, Mojtaba Nayyeri, Alaleh Maskooki, 2017, Neural Processing Letters.

Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019 .

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation pdf

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2020, COLING.

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them

Emanuel Sallinger, Sahar Vahdati, Jens Lehmann, 2020, SEMWEB.

Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019, SEMWEB.

Universal Approximation by Using the Correntropy Objective Function

Mojtaba Nayyeri, Modjtaba Rouhani, Hadi Sadoghi Yazdi, 2018, IEEE Transactions on Neural Networks and Learning Systems.

5* Knowledge Graph Embeddings with Projective Transformations pdf

Sahar Vahdati, Jens Lehmann, Mojtaba Nayyeri, 2020, AAAI.

On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score pdf

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019, ArXiv.

Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations pdf

Sahar Vahdati, Jens Lehmann, Mojtaba Nayyeri, 2020, ArXiv.

Knowledge Graph Embeddings in Geometric Algebras

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2020, COLING.

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules pdf

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function pdf

Jens Lehmann, Xiaotian Zhou, Sahar Vahdati, 2019, ArXiv.

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition pdf

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2019, ArXiv.

5* Knowledge Graph Embeddings with Projective Transformations

Sahar Vahdati, Jens Lehmann, Mojtaba Nayyeri, 2021, AAAI.

Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade

Sören Auer, Andreas Behrend, Sahar Vahdati, 2021, Scientometrics.

Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings

Sahar Vahdati, Jens Lehmann, Mojtaba Nayyeri, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Box Embeddings for the Description Logic EL++

Steffen Staab, Nico Potyka, Mojtaba Nayyeri, 2022, ArXiv.

Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models

Sahar Vahdati, Jens Lehmann, Mojtaba Nayyeri, 2021, PAKDD.

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings

Jens Lehmann, Mojtaba Nayyeri, Chengjin Xu, 2021, NAACL.

Knowledge Graph Representation Learning using Ordinary Differential Equations

Sahar Vahdati, Jens Lehmann, Mojtaba Nayyeri, 2021, EMNLP.

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain

Andrey Kravchenko, Enrico Motta, Francesco Osborne, 2021, IEEE Access.

Pattern-Aware and Noise-Resilient Embedding Models

Emanuel Sallinger, Sahar Vahdati, Jens Lehmann, 2021, ECIR.

Trans4E: Link Prediction on Scholarly Knowledge Graphs pdf

Diego Reforgiato Recupero, Enrico Motta, Francesco Osborne, 2021, Neurocomputing.