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George Dasoulas
George Dasoulas
Other namesGeorgios Dasoulas
Postdoctoral Researcher, Harvard University
Verified email at hms.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Coloring Graph Neural Networks for Node Disambiguation
G Dasoulas, LD Santos, K Scaman, A Virmaux
International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020
812020
Multimodal learning with graphs
G Dasoulas, Y Ektefaie, A Noori, M Farhat, M Zitnik
Nature Machine Intelligence 5 (4), 340-350, 2023
36*2023
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
G Salha-Galvan, JF Lutzeyer, G Dasoulas, R Hennequin, M Vazirgiannis
Neural Networks 153 (2022), 474-495, 2022
322022
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks
G Dasoulas, K Scaman, A Virmaux
International Conference on Machine Learning (ICML 2021), 2021
272021
k-hop graph neural networks
G Nikolentzos, G Dasoulas, M Vazirgiannis
Neural Networks 130 (2020), 195-205, 2020
262020
Learning Parametrised Graph Shift Operators
G Dasoulas, J Lutzeyer, M Vazirgiannis
9th International Conference on Learning Representations (ICLR 2021), 2021
232021
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
J Cheng, G Dasoulas, H He, C Agarwal, M Zitnik
11th International Conference on Learning Representations (ICLR 2023), 2023
182023
Graph-based Neural Architecture Search with Operation Embeddings
M Chatzianastasis, G Dasoulas, G Siolas, M Vazirgiannis
ICCV 2021 Workshop on Neural Architectures: Past, Present and Future, 2021
13*2021
Hcore-Init: Neural Network Initialization based on Graph Degeneracy
S Limnios, G Dasoulas, DM Thilikos, M Vazirgiannis
25th International Conference on Pattern Recognition (ICPR 2020), 2020
132020
Graph Ordering Attention Networks
M Chatzianastasis, JF Lutzeyer, G Dasoulas, M Vazirgiannis
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
112023
Permute Me Softly: Learning Soft Permutations for Graph Representations
G Nikolentzos, G Dasoulas, M Vazirgiannis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
92023
Ego-based Entropy Measures for Structural Representations on Graphs
G Dasoulas, G Nikolentzos, K Scaman, A Virmaux, M Vazirgiannis
ICASSP 2021 - IEEE International Conference on Acoustics, Speech and Signal …, 2021
8*2021
Geometric Multimodal Representation Learning
Y Ektefaie, G Dasoulas, A Noori, M Farhat, M Zitnik
arXiv preprint arXiv:2209.03299, 2023
12023
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
T Vartziotis, I Dellatolas, G Dasoulas, M Schmidt, F Schneider, ...
The First International Workshop on Large Language Models for Code (2024), 2024
2024
Learn2Extend: Extending sequences by retaining their statistical properties with mixture models
D Vartziotis, G Dasoulas, F Pausinger
arXiv preprint arXiv:2312.01507, 2024
2024
Normalization scheme for self-attention neural networks
KS Aladin Virmaux, George Dasoulas
US Patent US20230385615A1, 2023
2023
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction
G Salha-Galvan, JF Lutzeyer, G Dasoulas, R Hennequin, M Vazirgiannis
NeurIPS 2022 Workshop on New Frontiers in Graph Learning, 2022
2022
A normalization scheme for self-attention neural networks
A Virmaux, G Dasoulas, K Scaman
WO Patent WO2022167077 A1, 2022
2022
Node disambiguation
G Dasoulas, L Dos Santos, K Scaman, A Virmaux
US Patent App. 17/702,064, 2022
2022
Vers des Graph Neural Networks expressives: théorie, algorithmes et applications
G Dasoulas
2022
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