| 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 | 40 | 2024 |
| Kagnns: Kolmogorov-arnold networks meet graph learning R Bresson, G Nikolentzos, G Panagopoulos, M Chatzianastasis, J Pang, ... arXiv preprint arXiv:2406.18380, 2024 | 36 | 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 | 24 | 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 | 19* | 2021 |
| Explainable Multilayer Graph Neural Network for Cancer Gene Prediction M Chatzianastasis, M Vazirgiannis, Z Zhang OUP Bioinformatics, 2023 | 13 | 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 | 12 | 2023 |
| 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 | 10 | 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 | 8* | 2022 |
| Neural graph generator: Feature-conditioned graph generation using latent diffusion models I Evdaimon, G Nikolentzos, C Xypolopoulos, A Kammoun, ... arXiv preprint arXiv:2403.01535, 2024 | 2 | 2024 |
| Metrics to detect small-scale and large-scale citation orchestration I Evdaimon, J Ioannidis, G Nikolentzos, M Chatzianastasis, ... arXiv preprint arXiv:2406.19219, 2024 | 1 | 2024 |
| 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 |
| A graph neural architecture search approach for identifying bots in social media G Tzoumanekas, M Chatzianastasis, L Ilias, G Kiokes, J Psarras, ... Frontiers in Artificial Intelligence 7, 1509179, 2024 | | 2024 |
| Graph Linearization Methods for Reasoning on Graphs with Large Language Models C Xypolopoulos, G Shang, X Fei, G Nikolentzos, H Abdine, I Evdaimon, ... arXiv preprint arXiv:2410.19494, 2024 | | 2024 |
| Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings N Nakis, C Kosma, G Nikolentzos, M Chatzianastasis, I Evdaimon, ... arXiv preprint arXiv:2409.10452, 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 |
| 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