Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring. These methods ...
The paper “A 1000× Faster LLM-enhanced Algorithm for Path Planning in Large-scale Grid Maps,” published on arXiv by researchers from the National University of Defense Technology in China, presents a ...
Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...
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