Qincheng Lu
McGill University(CA)
Publications by Year
Research Areas
Advanced Graph Neural Networks, Time Series Analysis and Forecasting, Machine Learning in Healthcare, Bayesian Modeling and Causal Inference, Face and Expression Recognition
Most-Cited Works
- → Revisiting Heterophily For Graph Neural Networks(2022)70 cited
- → Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?(2021)44 cited
- → When Do We Need Graph Neural Networks for Node Classification?(2024)14 cited
- → When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability(2023)12 cited
- → TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare(2024)4 cited
- → The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges(2024)3 cited
- → GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection(2024)3 cited
- → Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning(2024)2 cited