Chrysoula Kosma

According to our database, Chrysoula Kosma authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

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

Time Series Representations with Hard-Coded Invariances.

Thibaut Germain, Chrysoula Kosma, Laurent Oudre

Proceedings of the Forty-second International Conference on Machine Learning, 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

2023

Towards Robust Deep Learning Methods for Time Series Data and their Applications. (Vers des Méthodes Robustes d'Apprentissage Profond pour les Données de Séries Temporelles et leurs Applications).

Chrysoula Kosma

PhD thesis, 2023

Neural Ordinary Differential Equations for Modeling Epidemic Spreading.

Chrysoula Kosma, Giannis Nikolentzos, George Panagopoulos, Jean-Marc Steyaert, Michalis Vazirgiannis

Trans. Mach. Learn. Res., 2023

Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series.

Chrysoula Kosma, Giannis Nikolentzos, Michalis Vazirgiannis

CoRR, 2023

TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting.

Nancy Xu, Chrysoula Kosma, Michalis Vazirgiannis

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

Time Series Forecasting Models Copy the Past: How to Mitigate.

Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022