| Hypergraph neural networks through the lens of message passing: A common perspective to homophily and architecture design L Telyatnikov, MS Bucarelli, G Bernardez, O Zaghen, S Scardapane, P Lió arXiv preprint arXiv:2310.07684, 2023 | 19 | 2023 |
| From latent graph to latent topology inference: Differentiable cell complex module C Battiloro, I Spinelli, L Telyatnikov, M Bronstein, S Scardapane, ... arXiv preprint arXiv:2305.16174, 2023 | 18 | 2023 |
| EGG-GAE: scalable graph neural networks for tabular data imputation L Telyatnikov, S Scardapane Artificial Intelligence and Statistics 2023, 2022 | 15 | 2022 |
| TopoX: a suite of Python packages for machine learning on topological domains M Hajij, M Papillon, F Frantzen, J Agerberg, I AlJabea, R Ballester, ... Journal of Machine Learning Research 25 (374), 1-8, 2024 | 8 | 2024 |
| Icml 2023 topological deep learning challenge: Design and results M Papillon, M Hajij, A Myers, H Jenne, J Mathe, T Papamarkou, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 7 | 2023 |
| Topobenchmarkx: A framework for benchmarking topological deep learning L Telyatnikov, G Bernardez, M Montagna, P Vasylenko, G Zamzmi, M Hajij, ... arXiv preprint arXiv:2406.06642, 2024 | 6 | 2024 |
| Topological network traffic compression G Bernárdez, L Telyatnikov, E Alarcón, A Cabellos-Aparicio, P Barlet-Ros, ... Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 7-12, 2023 | 4 | 2023 |
| 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 | 2 | 2024 |
| Topological deep learning with state-space models: A mamba approach for simplicial complexes M Montagna, S Scardapane, L Telyatnikov arXiv preprint arXiv:2409.12033, 2024 | 1 | 2024 |
| Sheaf diffusion goes nonlinear: Enhancing gnns with adaptive sheaf laplacians O Zaghen, A Longa, S Azzolin, L Telyatnikov, A Passerini, P Lio ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024 | 1 | 2024 |
| Deep learning with structured data: topology inference and higher-order modeling L Telyatnikov Università degli Studi di Roma" La Sapienza", 2025 | | 2025 |
| Topological Graph Signal Compression G Bernárdez, L Telyatnikov, E Alarcón, A Cabellos-Aparicio, P Barlet-Ros, ... arXiv preprint arXiv:2308.11068, 2023 | | 2023 |
| Linear Prediction Algorithms for Lossless Audio Data Compression L Telyatnikov, I Karandashev Advances in Neural Computation, Machine Learning, and Cognitive Research III …, 2019 | | 2019 |
Simone ScardapaneAssistant Professor, Sapienza UniversityPreverjeni e-poštni naslov na uniroma1.it