| Nodeformer: A scalable graph structure learning transformer for node classification Q Wu, W Zhao, Z Li, D Wipf, J Yan Advances in Neural Information Processing Systems, 2022 | 253 | 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 | 110 | 2023 |
| Sgformer: 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, 64753-64773, 2023 | 101 | 2023 |
| 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 | 1 | 2024 |
Junchi YanFIAPR/IET/IEEE-AI2Watch, SJTU (2018-), SII (2024-), AWS (2019-2022), IBM (2011-2018)Потвърден имейл адрес: cs.sjtu.edu.cn