A review from Xidian University shows that advanced computational algorithms—from neural networks and matrix methods to recommendation engines and ...

Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have attracted ...

Traffic origin-destination forecasting is a crucial yet formidable task in intelligent transportation systems, due to the complicated spatial-temporal dependencies. However, existing spatial-temporal ...