Mirza Mohtashim Alam

Mirza Mohtashim Alam left SDA. The profile below reflects the status at the point of his departure and is no longer updated.

Phd Student
Computer Science Institute
University of Bonn

Profiles: LinkedIn, GitHub, Google Scholar

Room 1.064
Endenicher Allee 19a, 53115 Bonn
University of Bonn, Computer Science

turzo.mohtasim@gmail.com

Short CV


Mirza Mohtashim Alam is a Phd student at the Computer Science Department III of the University of Bonn.

Publications

2022

Nayyeri, Mojtaba; Vahdati, Sahar; Khan, Md Tansen; Alam, Mirza Mohtashim; Wenige, Lisa; Behrend, Andreas; Lehmann, Jens

Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion Proceedings Article

In: The Semantic Web - 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 - June 2, 2022, Proceedings, pp. 253–269, Springer, 2022.

Links | BibTeX

Alam, Mirza Mohtashim; Rony, Md. Rashad Al Hasan; Nayyeri, Mojtaba; Mohiuddin, Karishma; Akter, M. S. T. Mahfuja; Vahdati, Sahar; Lehmann, Jens

Language Model Guided Knowledge Graph Embeddings Journal Article

In: IEEE Access, vol. 10, pp. 76008–76020, 2022.

Links | BibTeX

2021

Nayyeri, Mojtaba; Vahdati, Sahar; Sallinger, Emanuel; Alam, Mirza Mohtashim; Yazdi, Hamed Shariat; Lehmann, Jens

Pattern-Aware and Noise-Resilient Embedding Models Proceedings Article

In: Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I, pp. 483–496, Springer, 2021.

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Nayyeri, Mojtaba; Xu, Chengjin; Hoffmann, Franca; Alam, Mirza Mohtashim; Lehmann, Jens; Vahdati, Sahar

Knowledge Graph Representation Learning using Ordinary Differential Equations Proceedings Article

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 9529–9548, Association for Computational Linguistics, 2021.

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Nayyeri, Mojtaba; Xu, Chengjin; Yaghoobzadeh, Yadollah; Vahdati, Sahar; Alam, Mirza Mohtashim; Yazdi, Hamed Shariat; Lehmann, Jens

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

In: Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III, pp. 77–89, Springer, 2021.

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2020

Alam, Mirza Mohtashim; Nayyeri, Mojtaba; Xu, Chengjin; Rony, Md. Rashad Al Hasan; Yazdi, Hamed Shariat; Sadeghi, Afshin; Lehmann, Jens

The Effect of Rule Injectionin a Leakage Free Dataset Proceedings Article

In: Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020, pp. 28–35, CEUR-WS.org, 2020.

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Alam, Mirza Mohtashim; Jabeen, Hajira; Ali, Mehdi; Mohiuddin, Karishma; Lehmann, Jens

Affinity Dependent Negative Sampling for Knowledge Graph Embeddings Proceedings Article

In: Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020 - moved online, CEUR-WS.org, 2020.

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Nayyeri, Mojtaba; Alam, Mirza Mohtashim; Lehmann, Jens; Vahdati, Sahar

3D Learning and Reasoning in Link Prediction Over Knowledge Graphs Journal Article

In: IEEE Access, vol. 8, pp. 196459–196471, 2020.

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2019

Islam, Md. Kabirul; Alam, Mirza Mohtashim; Rony, Md. Rashad Al Hasan; Mohiuddin, Karishma

Statistical Analysis and Identification of Important Factors of Liver Disease using Machine Learning and Deep Learning Architecture Proceedings Article

In: ICIAI 2019: The 3rd International Conference on Innovation in Artificial Intelligence, Suzhou, China, March 15-18, 2019, pp. 131–137, ACM, 2019.

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2018

Rony, Md. Rashad Al Hasan; Alam, Mirza Mohtashim

Hand gesture recognition using image segmentation and deep neural network Proceedings Article

In: Eleventh International Conference on Machine Vision, ICMV 2018, Munich, Germany, 1-3 November 2018, pp. 1104115, SPIE, 2018.

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