sheaf Laplacian
PulseAugur coverage of sheaf Laplacian — every cluster mentioning sheaf Laplacian across labs, papers, and developer communities, ranked by signal.
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New Clifford Sheaf Neural Network Architecture Introduced for Geometric Graphs
Researchers have introduced the Clifford Sheaf Neural Network (CSNN), a novel architecture designed for geometric graphs. This network incorporates Clifford algebras into each stalk of a cellular sheaf, enabling the tra…
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New criterion tackles oversmoothing in Sheaf Neural Networks
Researchers have developed a new index-theoretic criterion to address the problem of oversmoothing in Sheaf Neural Networks (SNNs). While previous methods used the dimension of the harmonic space ($\ker\mathcal{L}$) as …
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Sheaf Neural Networks benchmarked for inductive tasks, showing mixed results
Researchers have conducted a comprehensive benchmark of Sheaf Neural Networks (SNNs) for inductive tasks, a departure from their typical evaluation on transductive node classification. The study explored various diffusi…