Luo, Yuankai

7 publications

ICLR 2025 Beyond Random Masking: When Dropout Meets Graph Convolutional Networks Yuankai Luo, Xiao-Ming Wu, Hao Zhu

ICML 2025 Can Classic GNNs Be Strong Baselines for Graph-Level Tasks? Simple Architectures Meet Excellence Yuankai Luo, Lei Shi, Xiao-Ming Wu

ICLR 2025 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning Yuankai Luo, Hongkang Li, Qijiong Liu, Lei Shi, Xiao-Ming Wu

NeurIPS 2024 Classic GNNs Are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo, Lei Shi, Xiao-Ming Wu

NeurIPS 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuankai Luo, Hongkang Li, Lei Shi, Xiao-Ming Wu

NeurIPS 2023 Improving Self-Supervised Molecular Representation Learning Using Persistent Homology Yuankai Luo, Lei Shi, Veronika Thost

NeurIPS 2023 Transformers over Directed Acyclic Graphs Yuankai Luo, Veronika Thost, Lei Shi