| Does graph distillation see like vision dataset counterpart? B Yang, K Wang, Q Sun, C Ji, X Fu, H Tang, Y You, J Li Advances in Neural Information Processing Systems 36, 53201-53226, 2023 | 32 | 2023 |
| Adaptive subgraph neural network with reinforced critical structure mining J Li, Q Sun, H Peng, B Yang, J Wu, SY Philip IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8063-8080, 2023 | 18 | 2023 |
| Two trades is not baffled: Condense graph via crafting rational gradient matching T Zhang, Y Zhang, K Wang, K Wang, B Yang, K Zhang, W Shao, P Liu, ... arXiv preprint arXiv:2402.04924, 2024 | 11 | 2024 |
| Self-organization preserved graph structure learning with principle of relevant information Q Sun, J Li, B Yang, X Fu, H Peng, SY Philip Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4643-4651, 2023 | 11 | 2023 |
| GC-Bench: An Open and Unified Benchmark for Graph Condensation Q Sun, Z Chen, B Yang, C Ji, X Fu, S Zhou, H Peng, J Li, PS Yu arXiv preprint arXiv:2407.00615, 2024 | 5 | 2024 |
| Pre-training and prompting for few-shot node classification on text-attributed graphs H Zhao, B Yang, Y Cen, J Ren, C Zhang, Y Dong, E Kharlamov, S Zhao, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 3 | 2024 |
| CTRL: Graph condensation via crafting rational trajectory matching T Zhang, Y Zhang, B Yang, K Wang, T Li, K Zhang, W Shao, P Liu, ... | 1 | |
| Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck X Fu, Y Gao, B Yang, Y Wu, H Qian, Q Sun, X Li arXiv preprint arXiv:2412.17355, 2024 | | 2024 |
