| Nodeformer: A scalable graph structure learning transformer for node classification Q Wu, W Zhao, Z Li, DP Wipf, J Yan Advances in Neural Information Processing Systems 35, 27387-27401, 2022 | 241 | 2022 |
| Difformer: Scalable (graph) transformers induced by energy constrained diffusion Q Wu, C Yang, W Zhao, Y He, D Wipf, J Yan arXiv preprint arXiv:2301.09474, 2023 | 106 | 2023 |
| Simplifying and empowering transformers for large-graph representations Q Wu, W Zhao, C Yang, H Zhang, F Nie, H Jiang, Y Bian, J Yan Advances in Neural Information Processing Systems 36, 2024 | 91 | 2024 |
| GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks W Zhao, Q Wu, C Yang, J Yan Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 18 | 2023 |
| GeoMix: Towards Geometry-Aware Data Augmentation W Zhao, Q Wu, C Yang, J Yan Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
Junchi YanFIAPR/FIET/IEEE-AI2Watch, Prof. SJTU (2018-), SII (2024-), AWS (2019-2022), IBM (2011-2018)Verificeret mail på cs.sjtu.edu.cn