| Long range graph benchmark VP Dwivedi, L Rampášek, M Galkin, A Parviz, G Wolf, AT Luu, D Beaini Advances in Neural Information Processing Systems 35, 22326-22340, 2022 | 239 | 2022 |
| Towards foundational models for molecular learning on large-scale multi-task datasets D Beaini, S Huang, JA Cunha, Z Li, G Moisescu-Pareja, O Dymov, ... arXiv preprint arXiv:2310.04292, 2023 | 31 | 2023 |
| Generalized laplacian positional encoding for graph representation learning S Maskey, A Parviz, M Thiessen, H Stärk, Y Sadikaj, H Maron arXiv preprint arXiv:2210.15956, 2022 | 14 | 2022 |
| Tgb 2.0: A benchmark for learning on temporal knowledge graphs and heterogeneous graphs J Gastinger, S Huang, M Galkin, E Loghmani, A Parviz, F Poursafaei, ... Advances in neural information processing systems 37, 140199-140229, 2025 | 5 | 2025 |
| Reducing the cost of quantum chemical data by backpropagating through density functional theory A Mathiasen, H Helal, P Balanca, A Krzywaniak, A Parviz, F Hvilshøj, ... arXiv preprint arXiv:2402.04030, 2024 | 3 | 2024 |
| Minimol: A parameter-efficient foundation model for molecular learning K Klaser, B Banaszewski, S Maddrell-Mander, C McLean, L Müller, ... ICML 2024 Workshop on Efficient and Accessible Foundation Models for …, 2024 | 3 | 2024 |
| Ensemble learning as a peer process E Beikihassan, A Hoover, I Koutis, A Parviz Agent Learning in Open-Endedness (ALOE) Workshop. ICRL 2022, 2022 | 2 | 2022 |
| Resource-constrained knowledge diffusion processes inspired by human peer learning E Beikihassan, AK Hoover, I Koutis, A Parviz, N Aghaieabiane 26th European Conference on Artificial Intelligence ECAI 2023 372, 214 - 222, 2023 | 1 | 2023 |
| Best of Both Worlds: Advantages of Hybrid Graph Sequence Models A Behrouz, A Parviz, M Karami, C Sanford, B Perozzi, V Mirrokni arXiv preprint arXiv:2411.15671, 2024 | | 2024 |
| Towards an Understanding of Graph Sequence Models A Behrouz, A Parviz, M Karami, C Sanford, B Perozzi, V Mirrokni | | |
| Neurally boosted supervised spectral clustering A Parviz, I Koutis | | |
Mikhail GalkinResearch Scientist, GoogleAdresă de e-mail confirmată pe google.com