| Gppt: Graph pre-training and prompt tuning to generalize graph neural networks M Sun, K Zhou, X He, Y Wang, X Wang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 93 | 2022 |
| A survey of graph prompting methods: techniques, applications, and challenges X Wu, K Zhou, M Sun, X Wang, N Liu arXiv preprint arXiv:2303.07275, 2023 | 14 | 2023 |
| Research on knowledge graph completion model combining temporal convolutional network and Monte Carlo tree search Y Wang, M Sun, H Wang, Y Sun Mathematical Problems in Engineering 2022 (1), 2290540, 2022 | 2 | 2022 |
| Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation Y Li, M Du, R Song, X Wang, M Sun, Y Wang Artificial Intelligence 332, 104143, 2024 | 1 | 2024 |
| Learning continuous dynamic network representation with transformer-based temporal graph neural network Y Li, Y Wu, M Sun, B Yang, Y Wang Information Sciences 649, 119596, 2023 | 1 | 2023 |
| 3 directional Inception-ResUNet: Deep spatial feature learning for multichannel singing voice separation with distortion DD Wang, J Wang, MC Sun Plos one 19 (1), e0289453, 2024 | | 2024 |
| Structural-aware motif-based prompt tuning for graph clustering M Sun, M Yang, Y Li, D Mu, X Wang, Y Wang Information Sciences 649, 119643, 2023 | | 2023 |
| Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization M Sun, YJ Li, Y Wang, X Wang ACM Transactions on Knowledge Discovery from Data, 0 | | |
