Mojtaba Nayyeri
About
In The Last Decade
Mojtaba Nayyeri
24 papers receiving 304 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 279
- Computer Vision and Pattern Recognition 55
- Management Science and Operations Research 55
- Information Systems 38
- Statistical and Nonlinear Physics 29
Countries citing papers authored by Mojtaba Nayyeri
This map shows the geographic impact of Mojtaba Nayyeri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mojtaba Nayyeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mojtaba Nayyeri more than expected).
Fields of papers citing papers by Mojtaba Nayyeri
This network shows the impact of papers produced by Mojtaba Nayyeri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mojtaba Nayyeri. The network helps show where Mojtaba Nayyeri may publish in the future.
Co-authorship network of co-authors of Mojtaba Nayyeri
This figure shows the co-authorship network connecting the top 25 collaborators of Mojtaba Nayyeri. A scholar is included among the top collaborators of Mojtaba Nayyeri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mojtaba Nayyeri. Mojtaba Nayyeri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces | Proceedings of the AAAI Conference on Artificial Intelligence | Jiaxin Pan, Mojtaba Nayyeri et al. | 1 |
| 2 | Correntropy-Based Constructive One Hidden Layer Neural Network | Algorithms | Mojtaba Nayyeri, Modjtaba Rouhani et al. | 1 |
| 3 | NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning | Proceedings of the AAAI Conference on Artificial Intelligence | Mojtaba Nayyeri, Linhao Luo et al. | 4 |
| 4 | Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories | ePrints Soton (University of Southampton) | Mojtaba Nayyeri, Bo Xiong et al. | 1 |
| 5 | Shrinking Embeddings for Hyper-Relational Knowledge Graphs | Griffith Research Online (Griffith University, Queensland, Australia) | Bo Xiong, Mojtaba Nayyeri et al. | 9 |
| 6 | Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models | arXiv (Cornell University) | Mojtaba Nayyeri, Steffen Staab et al. | 12 |
| 7 | Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings | UvA-DARE (University of Amsterdam) | Mojtaba Nayyeri, Michael Cochez et al. | 5 |
| 8 | Language Model Guided Knowledge Graph Embeddings | IEEE Access | Mojtaba Nayyeri, Sahar Vahdati et al. | 9 |
| 9 | Hyperbolic Embedding Inference for Structured Multi-Label Prediction | Mojtaba Nayyeri et al. | 0 | |
| 10 | Ultrahyperbolic Knowledge Graph Embeddings | Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | Bo Xiong, Shichao Zhu et al. | 21 |
| 11 | Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion | IEEE Transactions on Knowledge and Data Engineering | Chengjin Xu, Mojtaba Nayyeri et al. | 13 |
| 12 | Knowledge Graph Representation Learning using Ordinary Differential Equations | Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing | Mojtaba Nayyeri, Chengjin Xu et al. | 8 |
| 13 | Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings | Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) | Chengjin Xu, Yung-Yu Chen et al. | 42 |
| 14 | 5F Knowledge Graph Embeddings with Projective Transformations | Fraunhofer-Publica (Fraunhofer-Gesellschaft) | Mojtaba Nayyeri, Sahar Vahdati et al. | 18 |
| 15 | Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade | Scientometrics | Mojtaba Nayyeri, Rainer Manthey et al. | 4 |
| 16 | TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation | Fraunhofer-Publica (Fraunhofer-Gesellschaft) | Chengjin Xu, Mojtaba Nayyeri et al. | 65 |
| 17 | 3D Learning and Reasoning in Link Prediction Over Knowledge Graphs | IEEE Access | Mojtaba Nayyeri, Jens Lehmann et al. | 1 |
| 18 | Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding | Lecture notes in computer science | Chengjin Xu, Mojtaba Nayyeri et al. | 8 |
| 19 | Universal Approximation by Using the Correntropy Objective Function | IEEE Transactions on Neural Networks and Learning Systems | Mojtaba Nayyeri, Hadi Sadoghi Yazdi et al. | 11 |
| 20 | Cancer classification by correntropy-based sparse compact incremental learning machine | Gene Reports | Mojtaba Nayyeri et al. | 4 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.