A clean PyTorch / PyG implementation library of Sheaf Neural Networks as Message Passing comprising all variants and a benchmark suite with 14+ Datasets.
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Updated
Jul 11, 2026 - Jupyter Notebook
A clean PyTorch / PyG implementation library of Sheaf Neural Networks as Message Passing comprising all variants and a benchmark suite with 14+ Datasets.
Sheaf neural network over the MZV motivic weight filtration for odd Riemann zeta value research, with GPU-accelerated polynomial continued fraction search
Contract-driven AI workflow system for deterministic software execution and continuity across sessions.
Stalks & Sections — WebGL explorer of cellular sheaves. Variable-dimension stalks, restriction maps, and sheaf-Laplacian residuals as first-class visual variables.
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