Wang, Xiyuan

15 publications

ICML 2025 Geometric Representation Condition Improves Equivariant Molecule Generation Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang

ICML 2025 Griffin: Towards a Graph-Centric Relational Database Foundation Model Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang

JMLR 2025 Improving Graph Neural Networks on Multi-Node Tasks with the Labeling Trick Xiyuan Wang, Pan Li, Muhan Zhang

NeurIPS 2025 OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction Juntong Wang, Xiyuan Wang, Muhan Zhang

ICLR 2025 On the Completeness of Invariant Geometric Deep Learning Models Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang

ICML 2024 Graph as Point Set Xiyuan Wang, Pan Li, Muhan Zhang

ICLR 2024 Neural Common Neighbor with Completion for Link Prediction Xiyuan Wang, Haotong Yang, Muhan Zhang

NeurIPS 2024 Unifying Generation and Prediction on Graphs with Latent Graph Diffusion Cai Zhou, Xiyuan Wang, Muhan Zhang

NeurIPS 2023 Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang

NeurIPS 2023 Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes Cai Zhou, Xiyuan Wang, Muhan Zhang

ICML 2023 From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou, Xiyuan Wang, Muhan Zhang

NeurIPS 2023 Is Distance Matrix Enough for Geometric Deep Learning? Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang

ICLR 2022 GLASS: GNN with Labeling Tricks for Subgraph Representation Learning Xiyuan Wang, Muhan Zhang

LoG 2022 Graph Neural Network with Local Frame for Molecular Potential Energy Surface Xiyuan Wang, Muhan Zhang

ICML 2022 How Powerful Are Spectral Graph Neural Networks Xiyuan Wang, Muhan Zhang