graspologic/searchindex.js

Search.setIndex({"alltitles": {"API Changes": [[27, "api-changes"], [28, "api-changes"], [29, "api-changes"], [30, "api-changes"], [31, "api-changes"], [32, "api-changes"], [33, "api-changes"]], "Adjacency Spectral Embed": [[38, "Adjacency-Spectral-Embed"]], "Adjplot": [[19, "adjplot"]], "Aligning": [[7, "aligning"], [34, "Aligning"], [43, "aligning"]], "Automatic Gaussian Mixture Modeling": [[35, "Automatic-Gaussian-Mixture-Modeling"]], "Automatic Graph Layout": [[13, "automatic-graph-layout"]], "Blog posts": [[4, "blog-posts"]], "CASE": [[39, "CASE"]], "CLI": [[2, "cli"]], "Classes": [[21, "classes"]], "Clustering": [[8, "clustering"], [43, "clustering"]], "Clustering in the embedded space": [[38, "Clustering-in-the-embedded-space"]], "Colormaps": [[55, "Colormaps"]], "Colors": [[13, "colors"]], "Compare it to the correlated SBM graph pair": [[64, "Compare-it-to-the-correlated-SBM-graph-pair"]], "Comparison between SignFlips, OrthogonalProcrustes, SeedlessProcrustes": [[34, "Comparison-between-SignFlips,-OrthogonalProcrustes,-SeedlessProcrustes"]], "Connected Components": [[24, "connected-components"]], "Connectomics": [[43, "connectomics"]], "Constants": [[21, "constants"]], "Contributing to graspologic": [[3, "contributing-to-graspologic"]], "Contributors to this release": [[27, "contributors-to-this-release"], [28, "contributors-to-this-release"], [29, "contributors-to-this-release"], [30, "contributors-to-this-release"], [31, "contributors-to-this-release"], [32, "contributors-to-this-release"], [33, "contributors-to-this-release"]], "Correlated Graph Pairs": [[60, "Correlated-Graph-Pairs"]], "Correlated Random Dot Product Graph (RDPG) Graph Pair": [[64, "Correlated-Random-Dot-Product-Graph-(RDPG)-Graph-Pair"]], "Covariate-Assisted Embedding": [[39, "Covariate-Assisted-Embedding"]], "Covariates": [[39, "Covariates"]], "Create a figure combining all of the models": [[52, "Create-a-figure-combining-all-of-the-models"]], "Data Generation": [[38, "Data-Generation"]], "Data transformations": [[55, "Data-transformations"]], "Datasets": [[9, "datasets"]], "Decomposition": [[10, "decomposition"]], "Degree Preserving Edge Swaps": [[51, "Degree-Preserving-Edge-Swaps"]], "Degree-corrected Erdos-Reyni (DCER)": [[52, "Degree-corrected-Erdos-Reyni-(DCER)"]], "Degree-corrected stochastic block model (DCSBM)": [[52, "Degree-corrected-stochastic-block-model-(DCSBM)"]], "Degreeplot": [[19, "degreeplot"]], "Deprecations": [[27, "deprecations"], [28, "deprecations"], [29, "deprecations"], [30, "deprecations"], [31, "deprecations"], [32, "deprecations"], [33, "deprecations"]], "Differences with Stochastic Block Model (SBM) graphs": [[62, "Differences-with-Stochastic-Block-Model-(SBM)-graphs"]], "Dimension specification": [[38, "Dimension-specification"]], "Directed out-of-sample prediction": [[42, "Directed-out-of-sample-prediction"]], "Dissimilarity graph embedding": [[10, "dissimilarity-graph-embedding"]], "Documentation": [[0, null]], "Drosophila larval mushroom body": [[9, "drosophila-larval-mushroom-body"]], "Duke mouse whole-brain connectomes": [[9, "duke-mouse-whole-brain-connectomes"]], "ER correlation graph pair": [[60, "ER-correlation-graph-pair"]], "Edge swapping (configuration models)": [[15, "edge-swapping-configuration-models"]], "Edgeplot": [[19, "edgeplot"]], "Educational materials": [[4, "educational-materials"]], "Embed": [[18, "module-graspologic.pipeline.embed"]], "Embed the two graphs using MASE": [[40, "Embed-the-two-graphs-using-MASE"]], "Embed the two graphs using omnibus embedding": [[41, "Embed-the-two-graphs-using-omnibus-embedding"]], "Embed using adjacency spectral embedding to obtain lower dimensional representation of the graph": [[58, "Embed-using-adjacency-spectral-embedding-to-obtain-lower-dimensional-representation-of-the-graph"], [59, "Embed-using-adjacency-spectral-embedding-to-obtain-lower-dimensional-representation-of-the-graph"]], "Embedding": [[10, "embedding"], [43, 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"Generate-a-stochastic-block-model-graph-to-model-as-a-random-dot-product-graph"]], "Generating Erdos-Renyi (ER) graphs": [[62, "Generating-Erdos-Renyi-(ER)-graphs"]], "Generating various types of graphs": [[62, "Generating-various-types-of-graphs"]], "GraSPy 0.0.1": [[26, "graspy-0-0-1"]], "GraSPy 0.0.2": [[26, "graspy-0-0-2"]], "GraSPy 0.0.3": [[26, "graspy-0-0-3"]], "GraSPy 0.1": [[26, "graspy-0-1"]], "GraSPy 0.2": [[26, "graspy-0-2"]], "GraSPy 0.3": [[26, "graspy-0-3"]], "GraSPy Release Log": [[26, "graspy-release-log"]], "Graph Cuts": [[21, "graph-cuts"]], "Graph Matching": [[14, "graph-matching"]], "GraphBuilder": [[18, "graphbuilder"]], "Gridplot": [[19, "gridplot"]], "Gridplot: Visualize Multiple Graphs": [[54, "Gridplot:-Visualize-Multiple-Graphs"]], "Group by two metadata at the same time": [[56, "Group-by-two-metadata-at-the-same-time"]], "Group connection test": [[45, "Group-connection-test"]], "Group the matrix by another metadata (region), but with a color axis to label 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"modularity-and-component-modularity"]], "Motivation": [[0, "motivation"]], "Multiple Adjacency Spectral Embedding (MASE)": [[40, "Multiple-Adjacency-Spectral-Embedding-(MASE)"]], "Multiple graph embedding": [[10, "multiple-graph-embedding"]], "Naive vs Adopted Padding": [[49, "Naive-vs-Adopted-Padding"]], "Networkplot: Visualizing 2D Layouts": [[57, "Networkplot:-Visualizing-2D-Layouts"]], "NodePosition": [[13, "nodeposition"]], "Nomination": [[16, "nomination"]], "Nomination via SGM": [[53, "Nomination-via-SGM"]], "Non-Assortative Graphs": [[39, "Non-Assortative-Graphs"]], "OS Requirements": [[6, "os-requirements"]], "Omnibus Embedding for Multiple Graphs": [[41, "Omnibus-Embedding-for-Multiple-Graphs"]], "Orthogonal Procrustes": [[7, "orthogonal-procrustes"]], "OrthogonalProcrustes": [[34, "OrthogonalProcrustes"]], "Other": [[24, "other"]], "Out-of-Sample (OOS) Embedding": [[42, "Out-of-Sample-(OOS)-Embedding"]], "Overlaying two sparse graphs using gridplot": [[54, "Overlaying-two-sparse-graphs-using-gridplot"]], "Overview of graspologic": [[0, "overview-of-graspologic"]], "Padded Graph Matching": [[49, "Padded-Graph-Matching"]], "Pairplot": [[19, "pairplot"]], "Pairplot with GMM: Visualizing High Dimensional Data and Clustering": [[59, "Pairplot-with-GMM:-Visualizing-High-Dimensional-Data-and-Clustering"]], "Pairplot: Visualizing High Dimensional Data": [[58, "Pairplot:-Visualizing-High-Dimensional-Data"]], "Papers": [[4, "papers"]], "Partition": [[17, "partition"]], "Passing in multiple out-of-sample vertices": [[42, "Passing-in-multiple-out-of-sample-vertices"]], "Performing the Density Test": [[44, "Performing-the-Density-Test"]], "Pipeline": [[18, "module-graspologic.pipeline"]], "Plot SBM and MMSBM graphs using heatmap": [[62, "Plot-SBM-and-MMSBM-graphs-using-heatmap"]], "Plot of Null Distribution": [[46, "Plot-of-Null-Distribution"]], "Plot using heatmap instead of scattermap": [[56, "Plot-using-heatmap-instead-of-scattermap"]], "Plots of 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Models": [[52, "Random-Graph-Models"]], "Random dot product graph (RDPG)": [[52, "Random-dot-product-graph-(RDPG)"]], "Recover Original Communities": [[40, "Recover-Original-Communities"]], "Recover Original SBM Membership": [[40, "Recover-Original-SBM-Membership"]], "Reference": [[11, "reference"]], "Release Log": [[25, "release-log"]], "Release Notes: GraSPy 0.0.1": [[27, "release-notes-graspy-0-0-1"]], "Release Notes: GraSPy 0.0.2": [[28, "release-notes-graspy-0-0-2"]], "Release Notes: GraSPy 0.0.3": [[29, "release-notes-graspy-0-0-3"]], "Release Notes: GraSPy 0.0.X": [[33, "release-notes-graspy-0-0-x"]], "Release Notes: GraSPy 0.1": [[30, "release-notes-graspy-0-1"]], "Release Notes: GraSPy 0.2": [[31, "release-notes-graspy-0-2"]], "Release Notes: GraSPy 0.3": [[32, "release-notes-graspy-0-3"]], "Rendering": [[13, "rendering"]], "Replicating Omnibus Embedding Tutorial": [[40, "Replicating-Omnibus-Embedding-Tutorial"]], "Results from SBM simulation using same formulation shows similar structure": [[63, "Results-from-SBM-simulation-using-same-formulation-shows-similar-structure"]], "SBM": [[39, "SBM"]], "SBM correlated graph pair": [[60, "SBM-correlated-graph-pair"]], "SBM correlated graph pairs": [[49, "SBM-correlated-graph-pairs"]], "SGM on Correlated Graph Pairs": [[50, "SGM-on-Correlated-Graph-Pairs"]], "Sample new RDPGs from this latent position": [[47, "Sample-new-RDPGs-from-this-latent-position"]], "Sampling More Graphs": [[40, "Sampling-More-Graphs"]], "Screeplot": [[19, "screeplot"]], "Seeded Graph Matching (SGM)": [[50, "Seeded-Graph-Matching-(SGM)"]], "Seedless Procrustes": [[7, "seedless-procrustes"]], "SeedlessProcrustes": [[34, "SeedlessProcrustes"]], "Shuffled Example": [[34, "Shuffled-Example"]], "Shuffling graph 2": [[50, "Shuffling-graph-2"]], "Sign flips": [[7, "sign-flips"]], "SignFlips": [[34, "SignFlips"]], "Signal Subgraph Estimators": [[66, "Signal-Subgraph-Estimators"]], "Signal-Subgraph Estimators": [[23, "signal-subgraph-estimators"]], "Simple rotation example": [[34, "Simple-rotation-example"]], "Simulate a binary graph using stochastic block model": [[56, "Simulate-a-binary-graph-using-stochastic-block-model"], [58, "Simulate-a-binary-graph-using-stochastic-block-model"], [59, "Simulate-a-binary-graph-using-stochastic-block-model"]], "Simulate an adjacency matrix using a stochastic block model": [[57, "Simulate-an-adjacency-matrix-using-a-stochastic-block-model"]], "Simulate more graphs using weighted stochastic block models": [[54, "Simulate-more-graphs-using-weighted-stochastic-block-models"]], "Simulate two different graphs using stochastic block models (SBM)": [[40, "Simulate-two-different-graphs-using-stochastic-block-models-(SBM)"], [41, "Simulate-two-different-graphs-using-stochastic-block-models-(SBM)"]], "Simulations": [[22, "simulations"], [43, "simulations"]], "Single graph embedding": [[10, "single-graph-embedding"]], "Sort the grouped classes by their sizes": [[56, "Sort-the-grouped-classes-by-their-sizes"]], "Spectral Vertex Nomination": [[16, "spectral-vertex-nomination"], [67, "Spectral-Vertex-Nomination"]], "Stochastic Block Model (SBM)": [[65, "Stochastic-Block-Model-(SBM)"]], "Stochastic block model (SBM)": [[52, "Stochastic-block-model-(SBM)"]], "Stochastic block model as RDPG": [[63, "Stochastic-block-model-as-RDPG"]], "Stochastic block models": [[15, "stochastic-block-models"]], "Subgraph": [[23, "subgraph"], [43, "subgraph"]], "Supply array-likes instead of meta": [[56, "Supply-array-likes-instead-of-meta"]], "Testing": [[6, "testing"]], "Testing Symmetry of Two Networks with the Density Test": [[44, "Testing-Symmetry-of-Two-Networks-with-the-Density-Test"]], "Testing under the ER model": [[44, "Testing-under-the-ER-model"]], "Testing under the SBM model": [[45, "Testing-under-the-SBM-model"]], "The Erdos-Renyi (ER) model": [[44, "The-Erdos-Renyi-(ER)-model"]], "The stochastic block model (SBM)": [[45, "The-stochastic-block-model-(SBM)"]], "The use of class_order": [[56, "The-use-of-class_order"]], "The use of group": [[56, "The-use-of-group"]], "The use of highlight": [[56, "The-use-of-highlight"]], "The use of item_order": [[56, "The-use-of-item_order"]], "The use of multiple palettes": [[56, "The-use-of-multiple-palettes"]], "This tutorial will introduce the following random graph models:": [[52, "This-tutorial-will-introduce-the-following-random-graph-models:"]], "This tutorial will introduce the following signal-subgraph estimators:": [[66, "This-tutorial-will-introduce-the-following-signal-subgraph-estimators:"]], "Transformations": [[24, "transformations"]], "Tutorials": [[43, "tutorials"]], "Two-graph hypothesis testing": [[12, "two-graph-hypothesis-testing"]], "Undirected out-of-sample prediction": [[42, "Undirected-out-of-sample-prediction"]], "Unmatched example": [[34, "Unmatched-example"]], "Unshuffling graph 2 with 10 seeds": [[50, "Unshuffling-graph-2-with-10-seeds"]], 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