InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting H Cao, Z Huang, T Yao, J Wang, H He, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6906-6915, 2023 | 6 | 2023 |
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning L Sun, Z Huang, Z Wang, F Wang, H Peng, SY Philip Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9044-9052, 2024 | 3 | 2024 |
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing L Sun, Z Huang, H Wu, J Ye, H Peng, Z Yu, SY Philip 2023 IEEE International Conference on Data Mining (ICDM), 558-567, 2023 | 2 | 2023 |
RicciNet: Deep Clustering via A Riemannian Generative Model L Sun, J Hu, S Zhou, Z Huang, J Ye, H Peng, Z Yu, P Yu Proceedings of the ACM on Web Conference 2024, 4071-4082, 2024 | 1 | 2024 |