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George Dasoulas
Tytuł
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Coloring Graph Neural Networks for Node Disambiguation
G Dasoulas, LD Santos, K Scaman, A Virmaux
International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020
282020
Learning Parametrised Graph Shift Operators
G Dasoulas, J Lutzeyer, M Vazirgiannis
9th International Conference on Learning Representations (ICLR 2021), 2021
112021
k-hop graph neural networks
G Nikolentzos, G Dasoulas, M Vazirgiannis
Neural Networks, Volume 130, October 2020, Pages 195-205, 2020
62020
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
5*2021
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
32021
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
32020
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
2*2021
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
G Salha-Galvan, JF Lutzeyer, G Dasoulas, R Hennequin, M Vazirgiannis
arXiv preprint arXiv:2202.00961, 2022
12022
Permute Me Softly: Learning Soft Permutations for Graph Representations
G Nikolentzos, G Dasoulas, M Vazirgiannis
arXiv preprint arXiv:2110.01872, 2021
12021
Graph Ordering Attention Networks
M Chatzianastasis, JF Lutzeyer, G Dasoulas, M Vazirgiannis
arXiv preprint arXiv:2204.05351, 2022
2022
Towards Expressive Graph Neural Networks: Theory, Algorithms, and Applications
G Dasoulas
Institut Polytechnique de Paris, 2022
2022
Node disambiguation
G Dasoulas, LD Santos, K Scaman, A Virmaux
WO Patent WO 2021/058096 A1, 2021
2021
Προβλεπτικός Μηχανισμός Βέλτιστου Ανεφοδιασμού Οχημάτων: Συνδυασμός τεχνικών μηχανικής μάθησης με υπολογισμούς βελτιστοποίησης
Γ Δασούλας
2018
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks
GDKSA Virmaux
Operation Embeddings for Neural Architecture Search-Supplementary Material
M Chatzianastasis, G Dasoulas, G Siolas, M Vazirgiannis
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