| Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations A Çelikkanat, N Nakis, M Mørup Proceedings of the First Learning on Graphs Conference (LoG 2022), PMLR 198 …, 2022 | 6 | 2022 |
| Hm-ldm: A hybrid-membership latent distance model N Nakis, A Çelikkanat, M Mørup Complex Networks and Their Applications XI, DOI: 10.1007/978-3-031-21127 …, 2023 | 5 | 2023 |
| A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations N Nakis, A Çelikkanat, SL Jørgensen, M Mørup IEEE Transactions on Knowledge and Data Engineering TKDE, 1-14, 2023 | 4* | 2023 |
| Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model N Nakis, A Celikkanat, L Boucherie, C Djurhuus, F Burmester, ... Proceedings of The 26th International Conference on Artificial Intelligence …, 2023 | 3 | 2023 |
| Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model N Nakis, A Celikkanat, L Boucherie, S Lehmann, M Mørup Proceedings of The 27th International Conference on Artificial Intelligence …, 2024 | | 2024 |
| Continuous-time Graph Representation with Sequential Survival Process A Celikkanat, N Nakis, M Mørup Proceedings of the AAAI Conference on Artificial Intelligence 2024, 2024 | | 2024 |
| A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks N Nakis, A Çelikkanat, M Mørup Advances in Complex Systems, https://doi.org/10.1142/S0219525923400027, 2023 | | 2023 |
| Machine Learning for Static and Single-Event Dynamic Complex Network Analysis N Nakis Technical University of Denmark, 2023 | | 2023 |
| Scalable Hierarchical Embeddings of Complex Networks N Nakis, A CELIKKANAT, S Lehmann, M Mørup | | 2021 |
Abdulkadir ÇelikkanatTechnical University of DenmarkVerified email at centralesupelec.fr
