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Yiqian Lin

2 accepted papers

2025

MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction

ICASSP 2025accepted

In recent years, traffic flow prediction has played a crucial role in the management of intelligent transportation systems. However, traditional forecasting methods often model non-Euclidean low-dimensional traffic data as a simple graph with single type nodes and edges, failing to capture similar t…

Cited by 0SourceScholar
2025

SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction

ICASSP 2025accepted

In recent years, traffic flow prediction has played a crucial role in the management of intelligent transportation systems. However, traditional prediction methods are often limited by static spatial modeling, making it difficult to accurately capture the dynamic and complex relationships between ti…

Cited by 0SourceScholar