With the rapid advancement of socioeconomic development and urbanization, urban vehicle populations have witnessed an exponential growth trend, accompanied by continuously increasing traffic volume.
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, ...
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