diff --git a/docs/source/assets/images/Filtering_2024_Fig1.png b/docs/source/assets/images/Filtering_2024_Fig1.png deleted file mode 100644 index e5fc0071..00000000 Binary files a/docs/source/assets/images/Filtering_2024_Fig1.png and /dev/null differ diff --git a/docs/source/assets/images/Simpliciality_2023_Fig3.png b/docs/source/assets/images/Simpliciality_2023_Fig3.png deleted file mode 100644 index 9a0a620f..00000000 Binary files a/docs/source/assets/images/Simpliciality_2023_Fig3.png and /dev/null differ diff --git a/docs/source/assets/images/XGI_2023_Fig2.png b/docs/source/assets/images/XGI_2023_Fig2.png deleted file mode 100644 index 3831c3c7..00000000 Binary files a/docs/source/assets/images/XGI_2023_Fig2.png and /dev/null differ diff --git a/docs/source/gallery.rst b/docs/source/gallery.rst deleted file mode 100644 index 5adf360c..00000000 --- a/docs/source/gallery.rst +++ /dev/null @@ -1,29 +0,0 @@ -:orphan: - -******* -Gallery -******* - -Here are several examples of figures made using XGI: - -.. figure:: assets/images/XGI_2023_Fig2.png - :width: 400 - :alt: Image of a hypergraph with nodes colored and sized by different properties. - - A visualization of the email-enron dataset with hyperedges of sizes 2 and 3 (all isolated nodes removed). The nodes are colored by their degree and their size proportional to the Clique motif Eigenvector Centrality. (Fig. 2 in `XGI: A Python package for higher-order interaction networks `_) - - -.. figure:: assets/images/Simpliciality_2023_Fig3.png - :width: 400 - :align: left - :alt: Image of a hypergraph with nodes colored by their simpliciality measures. - - The local (A) simplicial fraction, (B) edit simpliciality, and (C) face edit simpliciality of the email-enron dataset filtered to include interactions of sizes 2 and 3. The colors of the histogram bars match the node colors on their corresponding network visualization. Nodes for which the local simpliciality is undefined are colored in grey. (Fig. 3 in `The simpliciality of higher-order networks `_) - - -.. figure:: assets/images/Filtering_2024_Fig1.png - :width: 400 - :alt: Image of a hypergraph decomposed into various edge-based filterings. - - An illustration of a hypergraph with hyperedges of sizes two through five, visualized using XGI. This hypergraph is decomposed using different types of filtering (uniform, GEQ, LEQ, and exclusion) for different filtering parameters, :math:`k`. (Fig. 1 in `Filtering higher-order datasets `_) -