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Nikolaos Nakis
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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
62022
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
5*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
52023
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
52023
Continuous-time Graph Representation with Sequential Survival Process
A Celikkanat, N Nakis, M Mørup
Proceedings of the AAAI Conference on Artificial Intelligence 2024, 2024
22024
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
N Nakis, C Kosma, G Nikolentzos, M Chatzianastasis, I Evdaimon, ...
AISTATS 2025, 2024
2024
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
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
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