| Graphgdp: Generative diffusion processes for permutation invariant graph generation H Huang, L Sun, B Du, Y Fu, W Lv 2022 IEEE International Conference on Data Mining (ICDM), 201-210, 2022 | 28 | 2022 |
| Representation learning on knowledge graphs for node importance estimation H Huang, L Sun, B Du, C Liu, W Lv, H Xiong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 17 | 2021 |
| PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation M Liu, H Huang, H Feng, L Sun, B Du, Y Fu The 39th IEEE International Conference on Data Engineering (ICDE 2023), 2023 | 16 | 2023 |
| Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation H Huang, L Sun, B Du, W Lv Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4302-4311, 2023 | 14 | 2023 |
| Learning joint 2d & 3d diffusion models for complete molecule generation H Huang, L Sun, B Du, W Lv arXiv preprint arXiv:2305.12347, 2023 | 4 | 2023 |
| RiboDiffusion: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models H Huang, Z Lin, D He, L Hong, Y Li bioRxiv, 2024.04. 18.590187, 2024 | | 2024 |
