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A framework for modeling multi-channel spatio-temporal signals by constructing dynamic network tensors (functional connectivity) and processing them with Graph Neural Networks, bypassing the need for a pre-defined static graph.
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This is a research-oriented project linked to a specific academic paper. While it introduces a novel combination of Graph Variate Signal Analysis (GVSA) and GNNs to handle dynamic connectivity, the repository has zero stars and minimal activity, indicating it serves primarily as a reference implementation for peer review rather than a maintained software tool. Frontier labs are unlikely to compete in this niche spatio-temporal signal processing space.
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