Projects per year
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Dive into the research topics where Abdulkadir Celikkanat is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Active
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AI:EcoNet
Ørsted, M. (PI), Celikkanat, A. (PI), Markoff, H. (Project Participant), Sønnichsen, K. A. (Project Participant), Li, S. (Project Participant), Herrmann, N. (Project Participant), Albertsen, M. (Project Participant) & Nielsen, T. D. (Project Participant)
01/08/2025 → 31/07/2028
Project: Research
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DarkScience: Illuminating microbial dark matter through data science
Albertsen, M. (PI), Hose, K. (PI), Nielsen, T. D. (PI), Heidelbach, S. (Project Participant), Knudsen, K. S. (Project Participant), Sereika, M. (Project Participant), Corfixen, M. (Project Participant), Celikkanat, A. (Project Participant), Masegosa, A. (Project Participant), Sagi, T. (Project Participant), Nissen, J. (Project Participant), Heede, T. (Project Participant) & Kirkegaard, R. H. (Project Participant)
01/11/2022 → …
Project: Research
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Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
Celikkanat, A., Masegosa, A. R. & Nielsen, T. D., 10 Dec 2024, In: Advances in Neural Information Processing Systems. 37, p. 118930-118952Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)209 Downloads (Pure) -
Continuous-Time Graph Representation with Sequential Survival Process
Çelikkanat, A., Nakis, N. & Mørup, M., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 10, p. 11177-11185 9 p.Research output: Contribution to journal › Conference article in Journal › Research › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations
Çelikkanat, A., Nakis, N. & Mørup, M., 2022, In: Proceedings of Machine Learning Research. 198Research output: Contribution to journal › Conference article in Journal › Research › peer-review
4 Link opens in a new tab Citations (Scopus) -
Joint Additive Gaussian Processes for Microbial Species Distribution Modeling
Heede, T., Celikkanat, A., Delogu, F., Masegosa, A., Albertsen, M. & Nielsen, T. D., May 2025, 13th Workshop on Uncertainty Processing. Studený, M., Capotorti, N. A. A., Csirmaz, L., Jiroušek, R., Kleiter, G. D. & Shenoy, P. P. (eds.). MatfyzPress, p. 128-139 12 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research
Open Access -
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Nakis, N., Celikkanat, A., Lehmann, S. & Morup, M., 1 Apr 2024, In: IEEE Transactions on Knowledge and Data Engineering. 36, 4, p. 1399-1412 14 p.Research output: Contribution to journal › Journal article › Research › peer-review
4 Link opens in a new tab Citations (Scopus)
Prizes
Press/Media
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Nature under the AI-lens: When animals and plants disappear, it can have major consequences
15/04/2025
1 item of Media coverage
Press/Media: Press / Media