Towards foundational models for molecular learning on large-scale multi-task datasets D Beaini, S Huang, JA Cunha, G Moisescu-Pareja, O Dymov, ... arXiv preprint arXiv:2310.04292, 2023 | 6 | 2023 |
Bess: Balanced entity sampling and sharing for large-scale knowledge graph completion A Cattaneo, D Justus, H Mellor, D Orr, J Maloberti, Z Liu, T Farnsworth, ... arXiv preprint arXiv:2211.12281, 2022 | 2 | 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 | 1 | 2024 |
: 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 |