Graph optimisation problems encompass a diverse range of challenges aimed at finding optimal or near‐optimal solutions in networks or graphs. These problems are pivotal in areas such as communication ...
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 ...
A technical paper titled “ROVER: RTL Optimization via Verified E-Graph Rewriting” was published by researchers at Intel Corporation and Imperial College London. “Manual RTL design and optimization ...
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