Shen, Yanming

8 publications

AAAI 2025 Bridging Molecular Graphs and Large Language Models Runze Wang, Mingqi Yang, Yanming Shen

ICML 2024 Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen

ICMLW 2024 Graph2Token: Make LLMs Understand Molecule Graphs Runze Wang, Mingqi Yang, Yanming Shen

AAAI 2024 TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation Zhuang Zhuang, Tianxin Wei, Lingbo Liu, Heng Qi, Yanming Shen, Baocai Yin

ICML 2023 Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi

ICML 2022 A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin

ICML 2022 HousE: Knowledge Graph Embedding with Householder Parameterization Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang

NeurIPS 2021 Do Transformers Really Perform Badly for Graph Representation? Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu