| Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers H Abdine, M Chatzianastasis, C Bouyioukos, M Vazirgiannis Proceedings of the AAAI Conference on Artificial Intelligence 38, 10757 …, 2024 | 22 | 2024 |
| Graph Ordering Attention Networks M Chatzianastasis, JF Lutzeyer, G Dasoulas, M Vazirgiannis Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), 2023 | 19 | 2023 |
| Graph-based Neural Architecture Search with Operation Embeddings M Chatzianastasis, G Dasoulas, G Siolas, M Vazirgiannis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16* | 2021 |
| Kagnns: Kolmogorov-arnold networks meet graph learning R Bresson, G Nikolentzos, G Panagopoulos, M Chatzianastasis, J Pang, ... arXiv preprint arXiv:2406.18380, 2024 | 10 | 2024 |
| Weisfeiler and Leman go hyperbolic: Learning distance preserving node representations G Nikolentzos, M Chatzianastasis, M Vazirgiannis International Conference on Artificial Intelligence and Statistics, 1037-1054, 2023 | 7 | 2023 |
| Neural architecture search with multimodal fusion methods for diagnosing dementia M Chatzianastasis, L Ilias, D Askounis, M Vazirgiannis ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| Explainable Multilayer Graph Neural Network for Cancer Gene Prediction M Chatzianastasis, M Vazirgiannis, Z Zhang OUP Bioinformatics, 2023 | 6 | 2023 |
| Structure-Aware Antibiotic Resistance Classification Using Graph Neural Networks A Qabel, S Ennadir, G Nikolentzos, JF Lutzeyer, M Chatzianastasis, ... NeurIPS 2022 AI for Science: Progress and Promises, 2022 | 4* | 2022 |
| Mass Enhanced Node Embeddings for Drug Repurposing M Chatzianastasis, G Nikolentzos, M Vazirgiannis ICML Workshop on Computational Biology 2022 and Proceedings of the 12th …, 2022 | 1 | 2022 |
| Metrics to Detect Small-Scale and Large-Scale Citation Orchestration I Evdaimon, J Ioannidis, G Nikolentzos, M Chatzianastasis, ... arXiv preprint arXiv:2406.19219, 2024 | | 2024 |
| Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs M Chatzianastasis, G Dasoulas, M Vazirgiannis arXiv preprint arXiv:2406.14142, 2024 | | 2024 |
| Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models I Evdaimon, G Nikolentzos, M Chatzianastasis, H Abdine, M Vazirgiannis arXiv preprint arXiv:2403.01535, 2024 | | 2024 |
| Supervised Attention Using Homophily in Graph Neural Networks M Chatzianastasis, G Nikolentzos, M Vazirgiannis International Conference on Artificial Neural Networks, 576-586, 2023 | | 2023 |
| What Do GNNs Actually Learn? Towards Understanding their Representations G Nikolentzos, M Chatzianastasis, M Vazirgiannis arXiv preprint arXiv:2304.10851, 2023 | | 2023 |
| Neural Architecture Search with Graph Generative Models M Chatzianastasis National Technical University of Athens, 2020 | | 2020 |
Michalis VazirgiannisDistinguished Professor, Ecole Polytechnique, Institute Polytechnique de ParisVerified email at lix.polytechnique.fr
