GradNet
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GradNet: A Gradient-Based Framework for Optimal Network Science
arXiv:2603.09197v2 Announce Type: replace Abstract: Network science has traditionally examined how structure determines dynamics. Here we invert this paradigm: we ask how functional dynamics and resource constraints shape network architecture. We introduce GradNet, an AI-enabled optimization framework that treats network topology as a continuously differentiable object.