| Coloring Graph Neural Networks for Node Disambiguation G Dasoulas, LD Santos, K Scaman, A Virmaux International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020 | 83 | 2020 |
| Multimodal learning with graphs G Dasoulas, Y Ektefaie, A Noori, M Farhat, M Zitnik Nature Machine Intelligence 5 (4), 340-350, 2023 | 48* | 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 | 37 | 2022 |
| 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 | 29 | 2021 |
| k-hop graph neural networks G Nikolentzos, G Dasoulas, M Vazirgiannis Neural Networks 130 (2020), 195-205, 2020 | 29 | 2020 |
| Learning Parametrised Graph Shift Operators G Dasoulas, J Lutzeyer, M Vazirgiannis 9th International Conference on Learning Representations (ICLR 2021), 2021 | 25 | 2021 |
| 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 | 22 | 2023 |
| Graph Ordering Attention Networks M Chatzianastasis, JF Lutzeyer, G Dasoulas, M Vazirgiannis Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), 2023 | 15 | 2023 |
| 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 | 13 | 2020 |
| Permute Me Softly: Learning Soft Permutations for Graph Representations G Nikolentzos, G Dasoulas, M Vazirgiannis IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 9 | 2023 |
| 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 | 2 | 2023 |
| 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 | 1 | 2024 |
| Node disambiguation G Dasoulas, L Dos Santos, K Scaman, A Virmaux US Patent App. 17/702,064, 2022 | 1 | 2022 |
| E (n) Equivariant Topological Neural Networks C Battiloro, E Karaismailoğlu, M Tec, G Dasoulas, M Audirac, F Dominici arXiv preprint arXiv:2405.15429, 2024 | | 2024 |
| Graph Ordering Attention Networks C Michail, L Johannes, D George, V Michalis AAAI 2023 Conference on Artificial Intelligence, 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 |
Michalis VazirgiannisDistinguished Professor, Ecole Polytechnique, Institute Polytechnique de Paris在 lix.polytechnique.fr 的电子邮件经过验证
