| GraphDF: A discrete flow model for molecular graph generation Y Luo, K Yan, S Ji International Conference on Machine Learning, 7192-7203, 2021 | 202 | 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 | 148* | 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 | 131 | 2023 |
| Periodic Graph Transformers for Crystal Material Property Prediction K Yan, Y Liu, Y Lin, S Ji Advances in Neural Information Processing Systems 35, 15066-15080, 2022 | 117 | 2022 |
| GraphEBM: Molecular graph generation with energy-based models M Liu, K Yan, B Oztekin, S Ji ICLR-EBM workshop, 2021 | 103 | 2021 |
| Examining graph neural networks for crystal structures: limitations and opportunities for capturing periodicity S Gong, K Yan, T Xie, Y Shao-Horn, R Gomez-Bombarelli, S Ji, ... Science Advances 9, 2023 | 39 | 2023 |
| Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction Y Lin, K Yan, Y Luo, Y Liu, X Qian, S Ji ICML 2023, 2023 | 39 | 2023 |
| A Latent Diffusion Model for Protein Structure Generation K Yan, C Fu, L Wang, WY Au, M McThrow, T Komikado, K Maruhashi, ... Learning on Graphs 2023, 2023 | 28* | 2023 |
| JARVIS-Leaderboard: a large scale benchmark of materials design methods K Choudhary, D Wines, K Li, KF Garrity, V Gupta, AH Romero, JT Krogel, ... npj Computational Materials 10 (1), 93, 2024 | 22* | 2024 |
| Complete and Efficient Graph Transformers for Crystal Material Property Prediction K Yan, C Fu, X Qian, X Qian, S Ji ICLR 2024, 2024 | 14 | 2024 |
| A Space Group Symmetry Informed Network for O (3) Equivariant Crystal Tensor Prediction K Yan, A Saxton, X Qian, X Qian, S Ji ICML 2024, 2024 | 5 | 2024 |
| Multitask attentive network for text effects quality assessment K Yan, S Yang, W Wang, J Liu 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 4 | 2020 |
| Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation K Yan, X Li, H Ling, K Ashen, C Edwards, R Arroyave, M Zitnik, H Ji, ... NeurIPS 2024, 2024 | | 2024 |
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityPotvrđena adresa e-pošte na tamu.edu