| 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 | 45 | 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 | | 2024 |
Shuiwang Ji, Professor and Presidenti...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
