This image shows Mojtaba Nayyeri

Mojtaba Nayyeri

Researcher
KI
Analytic Computing

Contact

Universitätsstraße 32
70569 Stuttgart
Germany
Room: 2.302

Publication:
  1. 7. M. Nayyeri et al., “Knowledge Graph Embeddings using Neural Itô Process: From Multiple Walks to Stochastic Trajectories,” in Findings of the Association for Computational Linguistics: ACL 2023, in Findings of the Association for Computational Linguistics: ACL 2023. 2023, pp. 7165--7179.
  2. 6. M. Nayyeri et al., “Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces,” in The Semantic Web – ISWC 2023, in The Semantic Web – ISWC 2023. , 2023. doi: 10.1007/978-3-031-47240-4_21.
  3. 5. J. Pan, M. Nayyeri, Y. Li, and S. Staab, “HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces,” arXiv preprint arXiv:2312.13680, 2023.
  4. 4. B. Xiong et al., “Ultrahyperbolic Knowledge Graph Embeddings,” in 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-22, in 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-22. Aug. 2022. doi: https://doi.org/10.1145/3534678.3539333.
  5. 3. M. Nayyeri, C. Xu, F. Hoffmann, M. M. Alam, J. Lehmann, and S. Vahdati, “Knowledge Graph Representation Learning using Ordinary Differential Equations.,” in EMNLP (1), M.-F. Moens, X. Huang, L. Specia, and S. W. tau Yih, Eds., in EMNLP (1). Association for Computational Linguistics, 2021, pp. 9529–9548. doi: 10.18653/v1/2021.emnlp-main.750.
  6. 2. C. Xu, M. Nayyeri, F. Alkhoury, H. Yazdi, and J. Lehmann, “Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding,” in Lecture Notes in Computer Science, in Lecture Notes in Computer Science. , Springer International Publishing, 2020, pp. 654--671. doi: 10.1007/978-3-030-62419-4_37.
  7. 1. M. Nayyeri, M. M. Alam, J. Lehmann, and S. Vahdati, “3D Learning and Reasoning in Link Prediction Over Knowledge Graphs,” IEEE Access, vol. 8, pp. 196459--196471, 2020, doi: 10.1109/access.2020.3034183.
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