Jiayi Li, Ruilin Luo, Jiaqi Sun, Jing Xiao, Yujiu Yang. Prior Bilinear-based Models for Knowledge Graph Completion. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). 2024.
Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen. MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. Proceedings of the ACM on Web Conference (WebConf). 2024.
Jiaqi Sun, Lin Zhang, Guangyi Chen, Kun Zhang, Peng Xu, Yujiu Yang. Feature Expansion for Graph Neural Networks. International Conference on Machine Learnin (ICML). 2023.
Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang. D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. International Conference on Machine Learnin (ICML). 2023.
Peng XU, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu. Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. International Conference on Machine Learnin (ICML). 2023.
Jiaqi Sun, Lin Zhang, Shenglin Zhao, Yujiu Yang. Improving Graph Neural Networks: A High-Frequency Booster. International Conference on Data Mining Workshops: Machine Learning on Graphs (ICDMW). 2022.
Junjie Wang*, Yatai Ji*, Jiaqi Sun, Yujiu Yang, and Tetsuya Sakai. 2021. MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question Answering. Findings of the Association for Computational Linguistics: EMNLP. 2021.