A Survey on Deep Graph Generation: Methods and Applications Y Wang, Y Zhu, Y Du, Y Xu, J Zhang, Q Liu, S Wu arXiv preprint arXiv:2203.06714, 2022 | 69* | 2022 |
Dataset geography: Mapping language data to language users F Faisal, Y Wang, A Anastasopoulos arXiv preprint arXiv:2112.03497, 2021 | 18 | 2021 |
Multi-objective deep data generation with correlated property control S Wang, X Guo, X Lin, B Pan, Y Du, Y Wang, Y Ye, A Petersen, A Leitgeb, ... Advances in Neural Information Processing Systems 35, 28889-28901, 2022 | 15* | 2022 |
Small molecule generation via disentangled representation learning Y Du, X Guo, Y Wang, A Shehu, L Zhao Bioinformatics 38 (12), 3200-3208, 2022 | 15 | 2022 |
Deep latent-variable models for controllable molecule generation Y Du, Y Wang, F Alam, Y Lu, X Guo, L Zhao, A Shehu 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 12 | 2021 |
Graph-based Ensemble Machine Learning for Student Performance Prediction Y Wang, A Ding, K Guan, S Wu, Y Du arXiv preprint arXiv:2112.07893, 2021 | 2 | 2021 |
Property-controllable generation of quaternary ammonium compounds B Pan, Y Wang, X Lin, M Qin, Y Du, S Ghaemi, A Ding, S Wang, ... 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
On Separate Normalization in Self-supervised Transformers X Chen, Y Wang, Y Du, S Hassoun, L Liu Advances in Neural Information Processing Systems 36, 2023 | | 2023 |
Generation and Characterization of Quaternary Ammonium Compounds via Deep Learning Y Wang, S Ghaemi, A Ding, Y Du, B Pan, M Qin, X Lin, AA Petersen, ... 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | | 2022 |