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 | 191 | 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 | 15 | 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 | 9 | 2022 |
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 |
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, ... arXiv preprint arXiv:2406.09639, 2024 | 1 | 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 | 1 | 2024 |
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 |
Ensemble learning as a peer process E Beikihassan, A Hoover, I Koutis, A Parviz Agent Learning in Open-Endedness (ALOE) Workshop. ICRL 2022, 2022 | 1 | 2022 |
: A Parameter-Efficient Foundation Model for Molecular Learning K Kläser, B Banaszewski, S Maddrell-Mander, C McLean, L Müller, ... arXiv preprint arXiv:2404.14986, 2024 | | 2024 |
Neurally boosted supervised spectral clustering A Parviz, I Koutis | | |