Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? - Sitao Luan; Chenqing Hua; Qincheng Lu; Jiaqi Zhu; Mingde Zhao 001; Shuyuan Zhang; Xiao-Wen Chang; Doina Precup (CoRR, 2021)

Revisiting Heterophily For Graph Neural Networks. - Sitao Luan; Chenqing Hua; Qincheng Lu; Jiaqi Zhu; Mingde Zhao 001; Shuyuan Zhang; Xiao-Wen Chang; Doina Precup (NeurIPS, 2022)

When Do We Need GNN for Node Classification? - Sitao Luan; Chenqing Hua; Qincheng Lu; Jiaqi Zhu; Xiao-Wen Chang; Doina Precup (CoRR, 2022)

When Do We Need Graph Neural Networks for Node Classification? - Sitao Luan; Chenqing Hua; Qincheng Lu; Jiaqi Zhu; Xiao-Wen Chang; Doina Precup (COMPLEX NETWORKS (1), 2023)

Success Probabilities of L2-norm Regularized Babai Detectors and Maximization. - Xiao-Wen Chang; Qincheng Lu; Yingzi Xu (ISIT, 2023)

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. - Sitao Luan; Chenqing Hua; Minkai Xu; Qincheng Lu; Jiaqi Zhu; Xiao-Wen Chang; Jie Fu; Jure Leskovec; Doina Precup (NeurIPS, 2023)

TimelyGPT: Recurrent Convolutional Transformer for Long Time-series Representation. - Ziyang Song; Qincheng Lu; Hao Xu; Yue Li (CoRR, 2023)

TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare. - Ziyang Song; Qincheng Lu; Hao Xu; He Zhu; David L. Buckeridge; Yue Li 055 (BCB, 2024)

GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection. - Qincheng Lu; Sitao Luan; Xiao-Wen Chang (GLOBECOM, 2024)

Flexible Diffusion Scopes With Parameterized Laplacian for Heterophilic Graph Learning. - Qincheng Lu; Jiaqi Zhu; Sitao Luan; Xiao-Wen Chang (LoG, 2024)

Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning. - Ziyang Song; Qincheng Lu; He Zhu; David L. Buckeridge; Yue Li (MLHC, 2024)

Bidirectional Generative Pre-training for Improving Time Series Representation Learning. - Ziyang Song; Qincheng Lu; He Zhu; Yue Li (CoRR, 2024)

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention. - Qincheng Lu; Jiaqi Zhu; Sitao Luan; Xiao-Wen Chang (CoRR, 2024)

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. - Sitao Luan; Chenqing Hua; Qincheng Lu; Liheng Ma; Lirong Wu; Xinyu Wang; Minkai Xu; Xiao-Wen Chang; Doina Precup; Rex Ying; Stan Z. Li; Jian Tang 005; et al. (CoRR, 2024)

Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks. - Sitao Luan; Qincheng Lu; Chenqing Hua; Xinyu Wang; Jiaqi Zhu; Xiao-Wen Chang; Guy Wolf; Jian Tang 005 (CoRR, 2024)