About Me
I hold a PhD from the Technical University of Denmark (DTU) in the Section of Cognitive Systems at DTU Compute. Following my doctoral studies, I was a postdoctoral researcher at École Polytechnique in the Polytechnic Institute of Paris, where I worked in the Data Science and Mining Lab. Currently, I am a postdoctoral researcher at the Yale Institute for Network Science in the Human Nature Lab. My research focuses on machine learning for graphs, particularly graph representation learning and statistical learning. I apply these methods to areas such as social network analysis, network polarization, and developing self-explainable models to enhance interpretability and transparency in AI systems.
Publications
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Continuous-time Graph Representation with Sequential Survival Process (2024)
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
Proceedings of the AAAI Conference on Artificial Intelligence, 2024
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Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model (2024)
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup
Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR
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A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations (2023)
Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann, Morten Mørup
IEEE Transactions on Knowledge and Data Engineering (TKDE)
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Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model (2023)
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Morten Mørup
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR
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A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks (2023)
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
Advances in Complex Systems (ACS)
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HM-LDM: A Hybrid-Membership Latent Distance Model (2022)
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
Complex Networks and Their Applications XI
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Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations (2022)
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
Proceedings of the First Learning on Graphs Conference, PMLR
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Machine Learning for Static and Single-Event Dynamic Complex Network Analysis (2024)
Nikolaos Nakis
PhD Thesis, 2024
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Preprints
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Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings (2024)
Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Iakovos Evdaimon, Michail Chatzianastasis, Michalis Vazirgiannis
Preprint, 2024
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Capturing Interactions in Complex Protein-Protein Networks: Introducing the Signed Two-Space Proximity Model (2024)
Nikolaos Nakis, Chrysoula Kosma, Anastasia Brativnyk, Iakovos Evdaimon, Michail Chatzianastasis, Michalis Vazirgiannis
Preprint, 2024
Awards
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Best Paper Award
"Continuous-time Graph Representation with Sequential Survival Process"
Temporal Graph Learning Workshop @ NeurIPS 2023
Talks
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"Characterizing Polarization in Social Networks using Archetypal Analysis"
July 2023
9'th International Conference on Computational Social Science, IC2S2 -
"The Hybrid-Membership Latent Distance Model"
November 2022
11'th International Conference on Complex Networks and their Applications, CNA
News
- Paper accepted in AAAI! - 2024
- Paper accepted in AISTATS! - 2024
- Paper accepted in TKDE! - 2023
- Paper accepted in AISTATS! - 2023