| Towards comprehensive preference data collection for reward modeling Y Hu, Q Li, S Ouyang, G Chen, K Chen, L Mei, X Ye, F Zhang, Y Liu arXiv preprint arXiv:2406.16486, 2024 | 2 | 2024 |
| VIGraph: Self-supervised Learning for Class-Imbalanced Node Classification Y Hu, S Ouyang, Z Yang, Y Liu arXiv preprint arXiv:2311.01191, 2023 | 2 | 2023 |
| HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning Y Hu, Z Yang, S Ouyang, Y Liu arXiv preprint arXiv:2310.11102, 2023 | 2 | 2023 |
| Understanding the generalization performance of spectral clustering algorithms S Li, S Ouyang, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8614-8621, 2023 | 2 | 2023 |
| GUNDAM: Aligning Large Language Models with Graph Understanding S Ouyang, Y Hu, G Chen, Y Liu arXiv preprint arXiv:2409.20053, 2024 | 1 | 2024 |
| WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets Z Yang, Y Hu, S Ouyang, J Liu, S Wang, X Ma, W Wang, H Su, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9287-9295, 2024 | 1 | 2024 |
| Exploring Task Unification in Graph Representation Learning via Generative Approach Y Hu, S Ouyang, Z Yang, G Chen, J Wan, X Wang, Y Liu arXiv preprint arXiv:2403.14340, 2024 | 1 | 2024 |
| IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders G Chen, Y Hu, S Ouyang, Z Yang, Y Liu, C Luo Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |
| Advancing Latent Representation Ranking for Masked Graph Autoencoder Y Hu, G Chen, S Ouyang, Z Yang, J Wan, F Zhang, Z Wang, Z Cao, S Wu, ... International Conference on Database Systems for Advanced Applications, 385-394, 2024 | | 2024 |
| Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation G Chen, Y Hu, S Ouyang, Y Liu, C Luo arXiv preprint arXiv:2406.17517, 2024 | | 2024 |
| GFMAE: Self-Supervised GNN-Free Masked Autoencoders Y Hu, S Ouyang, Z Yang, Y Zhao, J Wan, F Zhang, Z Wang, Y Liu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Do We Really Need Contrastive Learning for Graph Representation? Y Hu, S Ouyang, J Liu, G Chen, Z Yang, J Wan, F Zhang, Z Wang, Y Liu arXiv preprint arXiv:2310.14525, 2023 | | 2023 |
