Nikolaos Nakis

According to our database, Nikolaos Nakis authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models.

Nikolaos Nakis, Panagiotis Promponas, Konstantinos Tsirkas, Katerina Mamali, Eftychia Makri, Leandros Tassiulas, Nicholas A. Christakis

CoRR, May, 2026

Aitchison Embeddings for Learning Compositional Graph Representations.

Nikolaos Nakis, Chrysoula Kosma, Panagiotis Promponas, Michail Chatzianastasis, Giannis Nikolentzos

CoRR, May, 2026

Benchmark for Assessing Olfactory Perception of Large Language Models.

Eftychia Makri, Nikolaos Nakis, Laura Sisson, Gigi Minsky, Leandros Tassiulas, Vahid Satarifard, Nicholas A. Christakis

CoRR, April, 2026

Archetypal Graph Generative Models: Explainable and Identifiable Communities via Anchor-Dominant Convex Hulls.

Nikolaos Nakis, Chrysoula Kosma, Panagiotis Promponas, Michail Chatzianastasis, Giannis Nikolentzos

CoRR, February, 2026

2025

Machine Learning for Static and Single-Event Dynamic Complex Network Analysis.

Nikolaos Nakis

CoRR, December, 2025

Modeling roles and trade-offs in multiplex networks.

Nikolaos Nakis, Sune Lehmann, Nicholas A. Christakis, Morten Mørup

CoRR, August, 2025

The signed two-space proximity model for learning representations in protein-protein interaction networks.

Nikolaos Nakis, Chrysoula Kosma, Anastasia Brativnyk, Michail Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis

Bioinform., 2025

How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings.

Nikolaos Nakis, Niels Raunkjær Holm, Andreas Lyhne Fiehn, Morten Mørup

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings.

Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michail Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations.

Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann, Morten Mørup

IEEE Trans. Knowl. Data Eng., April, 2024

Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model.

Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Continuous-Time Graph Representation with Sequential Survival Process.

Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks.

Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup

Adv. Complex Syst., May, 2023

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model.

Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations.

Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann Jørgensen, Morten Mørup

CoRR, 2022

Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations.

Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup

Proceedings of the Learning on Graphs Conference, 2022

HM-LDM: A Hybrid-Membership Latent Distance Model.

Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup

Proceedings of the Complex Networks and Their Applications XI, 2022