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Rethinking Graph Neural Networks for the Graph Coloring Problem
Graph coloring, a classical and critical NP-hard problem, is the problem of assigning connected nodes as different colors as possible.
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL
To address the challenge, we present RobustAnalog, a robust circuit design framework that involves the variation information in the optimization process.
A Novel Experimental Platform for In-Vessel Multi-Chemical Molecular Communications
This work presents a new multi-chemical experimental platform for molecular communication where the transmitter can release different chemicals.
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