AINeutralarXiv – CS AI · 6h ago5/10
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Temporal Sheaf Neural Networks with Dynamic Orthogonal Transport
Researchers introduce Temporal Sheaf Neural Networks (TSNN), a novel framework for temporal link prediction that uses time-varying orthogonal coordinate frames to compare node states rather than operating in a shared global embedding space. The model demonstrates competitive performance on multiple benchmarks while offering theoretical guarantees on convergence and stability, with particular strength on heterogeneous graphs.