Feature expansion for graph neural networks J Sun, L Zhang, G Chen, P Xu, K Zhang, Y Yang International Conference on Machine Learning, 33156-33176, 2023 | 21 | 2023 |
Mirtt: Learning multimodal interaction representations from trilinear transformers for visual question answering J Wang, Y Ji, J Sun, Y Yang, T Sakai Findings of the Association for Computational Linguistics: EMNLP 2021, 2280-2292, 2021 | 19 | 2021 |
Do not train it: A linear neural architecture search of graph neural networks P Xu, L Zhang, X Liu, J Sun, Y Zhao, H Yang, B Yu International Conference on Machine Learning, 38826-38847, 2023 | 9 | 2023 |
Improving Your Graph Neural Networks: A High-Frequency Booster S Jiaqi, Z Lin, Z Shenglin, Y Yujiu 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 748-756, 2022 | 9 | 2022 |
Mugsi: Distilling gnns with multi-granularity structural information for graph classification T Yao, J Sun, D Cao, K Zhang, G Chen Proceedings of the ACM Web Conference 2024, 709-720, 2024 | 6 | 2024 |
D2match: leveraging deep learning and degeneracy for subgraph matching X Liu, L Zhang, J Sun, Y Yang, H Yang International Conference on Machine Learning, 22454-22472, 2023 | 3 | 2023 |
Prior Bilinear-Based Models for Knowledge Graph Completion J Li, R Luo, J Sun, J Xiao, Y Yang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 1 | 2024 |
Wide Graph Neural Network J Sun, L Zhang, G Chen, K Zhang, XU Peng, Y Yang | 1 | 2023 |
Rethinking Identity in Knowledge Graph Embedding J Li, J Sun, Y Yang | | 2022 |