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JD Tech Talk
JD Tech Talk
Jan 28, 2021 · Artificial Intelligence

Spatial‑Temporal Graph Diffusion Network for City Traffic Flow Forecasting

This article introduces a hierarchical graph neural network model that jointly captures multi‑scale temporal patterns and global spatial context for urban traffic flow prediction, demonstrates its superiority over existing methods on multiple public datasets, and validates each component through extensive ablation studies.

AttentionDeep Learninggraph neural network
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Spatial‑Temporal Graph Diffusion Network for City Traffic Flow Forecasting
Amap Tech
Amap Tech
Jun 24, 2020 · Artificial Intelligence

Hybrid Spatio-Temporal Graph Convolutional Network (H‑STGCN) for Traffic Forecasting

The Hybrid Spatio‑Temporal Graph Convolutional Network (H‑STGCN) integrates planned traffic flow from navigation data via a domain transformer and a compound adjacency matrix, enabling graph‑based spatio‑temporal modeling that consistently outperforms baselines in real‑world traffic forecasting and reduces severe ETA errors.

Deep LearningH‑STGCNgraph convolutional network
0 likes · 17 min read
Hybrid Spatio-Temporal Graph Convolutional Network (H‑STGCN) for Traffic Forecasting