Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...
With the rapid advancement of socioeconomic development and urbanization, urban vehicle populations have witnessed an exponential growth trend, accompanied by continuously increasing traffic volume.
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