Abstract: Control flow graph models program execution paths and is essential for program analysis and compiler optimizations. Compilers traverse thousands of graphs during compilation, thus, efficient ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Abstract: Traffic flow prediction is essential for intelligent transportation systems, yet privacy concerns and limited cross-regional data sharing hinder accurate modeling of global traffic patterns.
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