Finding global homophily in graph neural networks when meeting heterophily X Li, R Zhu, Y Cheng, C Shan, S Luo, D Li, W Qian International Conference on Machine Learning, 13242-13256, 2022 | 225 | 2022 |
Resurrecting label propagation for graphs with heterophily and label noise Y Cheng, C Shan, Y Shen, X Li, S Luo, D Li Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and …, 2024 | 4 | 2024 |
A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions C Gong, Y Cheng, J Yu, C Xu, C Shan, S Luo, X Li arXiv preprint arXiv:2401.09769, 2024 | 4 | 2024 |
Self-supervised Heterogeneous Graph Variational Autoencoders Y Zhao, J Yu, Y Cheng, C Yu, Y Liu, X Li, S Wang arXiv preprint arXiv:2311.07929, 2023 | 3 | 2023 |
FAFEnet: A fast and accurate model for automatic license plate detection and recognition X Zhou, Y Cheng, L Jiang, B Ning, Y Wang IET Image Processing 17 (3), 807-818, 2023 | 3 | 2023 |
Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks C Gong, X Li, J Yu, Y Cheng, J Tan, C Yu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 2 | 2024 |
Prioritized Propagation in Graph Neural Networks Y Cheng, M Chen, X Li, C Shan, M Gao arXiv preprint arXiv:2311.02832, 2023 | 2 | 2023 |
Label Propagation for Graph Label Noise Y Cheng, C Shan, Y Shen, X Li, S Luo, D Li arXiv preprint arXiv:2310.16560, 2023 | 1 | 2023 |
Can Large Language Models Act as Ensembler for Multi-GNNs? H Duan, Y Cheng, J Yu, X Li arXiv preprint arXiv:2410.16822, 2024 | | 2024 |
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks Y Cheng, M Chen, C Shan, X Li IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
Boosting Graph Foundation Model from Structural Perspective Y Cheng, Y Zhao, J Yu, X Li arXiv preprint arXiv:2407.19941, 2024 | | 2024 |