George Dasoulas

According to our database, George Dasoulas authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation.

Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen

CoRR, 2024

2023

Permute Me Softly: Learning Soft Permutations for Graph Representations.

Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Multimodal learning with graphs.

Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha Farhat, Marinka Zitnik

Nat. Mac. Intell., April, 2023

Learn2Extend: Extending sequences by retaining their statistical properties with mixture models.

Dimitris Vartziotis, George Dasoulas, Florian Pausinger

CoRR, 2023

GNNDelete: A General Strategy for Unlearning in Graph Neural Networks.

Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Graph Ordering Attention Networks.

Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Expressive Graph Neural Networks: Theory, Algorithms, and Applications. (Vers des Graph Neural Networks expressives: théorie, algorithmes et applications).

George Dasoulas

PhD thesis, 2022

Modularity-aware graph autoencoders for joint community detection and link prediction.

Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis

Neural Networks, 2022

New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction.

Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis

CoRR, 2022

Geometric multimodal representation learning.

Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha Farhat, Marinka Zitnik

CoRR, 2022

2021

Operation Embeddings for Neural Architecture Search.

Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis

CoRR, 2021

Lipschitz normalization for self-attention layers with application to graph neural networks.

George Dasoulas, Kevin Scaman, Aladin Virmaux

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Parametrised Graph Shift Operators.

George Dasoulas, Johannes F. Lutzeyer, Michalis Vazirgiannis

Proceedings of the 9th International Conference on Learning Representations, 2021

Graph-based Neural Architecture Search with Operation Embeddings.

Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Ego-Based Entropy Measures for Structural Representations on Graphs.

George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

k-hop graph neural networks.

Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis

Neural Networks, 2020

Ego-based Entropy Measures for Structural Representations.

George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis

CoRR, 2020

Coloring Graph Neural Networks for Node Disambiguation.

George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hcore-Init: Neural Network Initialization based on Graph Degeneracy.

Stratis Limnios, George Dasoulas, Dimitrios M. Thilikos, Michalis Vazirgiannis

Proceedings of the 25th International Conference on Pattern Recognition, 2020