Spherical message passing for 3d graph networks Y Liu, L Wang, M Liu, X Zhang, B Oztekin, S Ji
arXiv preprint arXiv:2102.05013, 2021
109 2021 DIG: A turnkey library for diving into graph deep learning research M Liu, Y Luo, L Wang, Y Xie, H Yuan, S Gui, H Yu, Z Xu, J Zhang, Y Liu, ...
Journal of Machine Learning Research 22 (240), 1-9, 2021
83 2021 Artificial intelligence for science in quantum, atomistic, and continuum systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ...
arXiv preprint arXiv:2307.08423, 2023
46 2023 Disentangled recurrent wasserstein autoencoder J Han, MR Min, L Han, LE Li, X Zhang
arXiv preprint arXiv:2101.07496, 2021
32 2021 Quaternion product units for deep learning on 3d rotation groups X Zhang, S Qin, Y Xu, H Xu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
19 2020 Molecule3d: A benchmark for predicting 3d geometries from molecular graphs Z Xu, Y Luo, X Zhang, X Xu, Y Xie, M Liu, K Dickerson, C Deng, M Nakata, ...
arXiv preprint arXiv:2110.01717, 2021
18 2021 Group equivariant fourier neural operators for partial differential equations J Helwig, X Zhang, C Fu, J Kurtin, S Wojtowytsch, S Ji
arXiv preprint arXiv:2306.05697, 2023
17 2023 Fast quantum property prediction via deeper 2d and 3d graph networks M Liu, C Fu, X Zhang, L Wang, Y Xie, H Yuan, Y Luo, Z Xu, S Xu, S Ji
arXiv preprint arXiv:2106.08551, 2021
9 2021 Lattice convolutional networks for learning ground states of quantum many-body systems C Fu, X Zhang, H Zhang, H Ling, S Xu, S Ji
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024
8 2024 Fast Quaternion Product Units for Learning Disentangled Representations in S Qin, X Zhang, H Xu, Y Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4504-4520, 2022
6 2022 A Score-Based Model for Learning Neural Wavefunctions X Zhang, S Xu, S Ji
arXiv preprint arXiv:2305.16540, 2023
1 2023 SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations X Zhang, J Helwig, Y Lin, Y Xie, C Fu, S Wojtowytsch, S Ji
arXiv preprint arXiv:2403.19507, 2024
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