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README.md

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+# Higher-order Laplacian Renormalization
+
+Code implementation for the paper *Nurisso, M., Morandini, M., Lucas, M., Vaccarino, F., Gili, T., & Petri, G. (2024). Higher-order Laplacian Renormalization. arXiv preprint arXiv:2401.11298.*
+
+## Contents
+- ``Functions``
+  - ``plotting.py``: functions to plot 2-dimensional simplicial complexes;
+  - ``renormalize.py``: functions to compute the entropic susceptibility and renormalize simplicial complexes;
+  - ``scomplex.py``: functions to work with simplicial complexes, generate them and compute their cross-order Laplacians.
+- ``Experiments_setups``: jupyter notebooks for reproducing the paper's figures.
+- ``Datasets``: example real-world networks.
+- ``C_curves``: contains pre-computed entropic susceptibility curves for NGF simplicial complexes and real-world networks.