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George Dasoulas
George Dasoulas
Другие именаGeorgios Dasoulas
Postdoctoral Researcher, Harvard University
Подтвержден адрес электронной почты в домене hms.harvard.edu - Главная страница
Название
Процитировано
Процитировано
Год
Multimodal learning with graphs
Y Ektefaie, G Dasoulas, A Noori, M Farhat, M Zitnik
Nature Machine Intelligence 5 (4), 340-350, 2023
1002023
Coloring Graph Neural Networks for Node Disambiguation
G Dasoulas, LD Santos, K Scaman, A Virmaux
International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020
922020
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
562022
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
462021
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
452023
k-hop graph neural networks
G Nikolentzos, G Dasoulas, M Vazirgiannis
Neural Networks 130 (2020), 195-205, 2020
452020
Learning Parametrised Graph Shift Operators
G Dasoulas, J Lutzeyer, M Vazirgiannis
9th International Conference on Learning Representations (ICLR 2021), 2021
312021
Graph Ordering Attention Networks
M Chatzianastasis, JF Lutzeyer, G Dasoulas, M Vazirgiannis
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
262023
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
19*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
122020
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
112024
Permute Me Softly: Learning Soft Permutations for Graph Representations
G Nikolentzos, G Dasoulas, M Vazirgiannis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
112023
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
GNNDelete: A general unlearning strategy for graph neural networks
J Cheng, G Dasoulas, H He, C Agarwal, M Zitnik
International Conference on Learning Representations, 2023
52023
E (n) equivariant topological neural networks
C Battiloro, E Karaismailoğlu, M Tec, G Dasoulas, M Audirac, F Dominici
arXiv preprint arXiv:2405.15429, 2024
32024
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
G Bernárdez, L Telyatnikov, M Montagna, F Baccini, M Papillon, ...
arXiv preprint arXiv:2409.05211, 2024
22024
Node disambiguation
G Dasoulas, L Dos Santos, K Scaman, A Virmaux
US Patent App. 17/702,064, 2022
22022
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
12022
ProCyon: A multimodal foundation model for protein phenotypes
O Queen, Y Huang, R Calef, V Giunchiglia, T Chen, G Dasoulas, LA Tai, ...
bioRxiv, 2024.12. 10.627665, 2024
2024
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs
M Chatzianastasis, Y Zhang, G Dasoulas, M Vazirgiannis
arXiv preprint arXiv:2406.14142, 2024
2024
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