{"id":19448590,"url":"https://github.com/neurodata/graph-stats-book","last_synced_at":"2025-04-25T02:31:31.951Z","repository":{"id":41119553,"uuid":"295822331","full_name":"neurodata/graph-stats-book","owner":"neurodata","description":null,"archived":false,"fork":false,"pushed_at":"2023-05-23T13:11:15.000Z","size":4085691,"stargazers_count":20,"open_issues_count":11,"forks_count":6,"subscribers_count":5,"default_branch":"master","last_synced_at":"2023-06-07T16:31:20.183Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://docs.neurodata.io/graph-stats-book/coverpage.html","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/neurodata.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-09-15T18:56:59.000Z","updated_at":"2023-06-05T13:03:53.000Z","dependencies_parsed_at":"2023-02-13T01:16:06.975Z","dependency_job_id":null,"html_url":"https://github.com/neurodata/graph-stats-book","commit_stats":null,"previous_names":[],"tags_count":null,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neurodata%2Fgraph-stats-book","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neurodata%2Fgraph-stats-book/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neurodata%2Fgraph-stats-book/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neurodata%2Fgraph-stats-book/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/neurodata","download_url":"https://codeload.github.com/neurodata/graph-stats-book/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223978590,"owners_count":17235202,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-10T16:27:45.583Z","updated_at":"2024-11-10T16:27:46.226Z","avatar_url":"https://github.com/neurodata.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Network Machine Learning in Python\n\nThis book provides an introduction to graph statistics, with a focus on useful representations of graphs and their applications on real data.\n\n[Google Drive Brainstorm](https://drive.google.com/drive/folders/1mcMQWv0WfydQSdgchhla7XHj2PBPD-b9?usp=sharing)\n[Book Proposal](https://docs.google.com/document/d/1VTlNaogB-WPyex9LYVh7PvmED9S8rNqHoTXlTre_ASA/edit?usp=sharing)\n[Compiled Jupyter Book](http://docs.neurodata.io/graph-stats-book/)\n\n## Usage\n\n### Building the book\n\nIf you'd like to develop on and build the Network Machine Learning in Python book, you should:\n\n- Clone this repository and run\n- Run `pip install -r requirements.txt` (it is recommended you do this within a virtual environment)\n- (Recommended) Remove the existing `network_machine_learning_in_python/_build/` directory\n- Run `jupyter-book build network_machine_learning_in_python/`\n\nA fully-rendered HTML version of the book will be built in `network_machine_learning_in_python/_build/html/index.html`.\n\n### Hosting the book\n\nThe html version of the book is hosted on the `gh-pages` branch of this repo. A GitHub actions workflow has been created that automatically builds and pushes the book to this branch on a push or pull request to main.\n\nIf you wish to disable this automation, you may remove the GitHub actions workflow and build the book manually by:\n\n- Navigating to your local build; and running,\n- `ghp-import -n -p -f network_machine_learning_in_python/_build/html`\n\nThis will automatically push your build to the `gh-pages` branch. More information on this hosting process can be found [here](https://jupyterbook.org/publish/gh-pages.html#manually-host-your-book-with-github-pages).\n\n## Contributors\n\nWe welcome and recognize all contributions. You can see a list of current contributors in the [contributors tab](https://github.com/jovo/network_machine_learning_in_python/graphs/contributors).\n\n## Credits\n\nThis project is created using the excellent open source [Jupyter Book project](https://jupyterbook.org/) and the [executablebooks/cookiecutter-jupyter-book template](https://github.com/executablebooks/cookiecutter-jupyter-book).\n\n## Color Schemes\n\n- Sequential color scales: low `#fcfbfd`, high `#3f007d`, discrete [RColor Brewer Purples](https://colorbrewer2.org/#type=sequential\u0026scheme=Purples\u0026n=8)\n- Divergent: low `#b2182b` middle `#f7f7f7` high `#2166ac`, discrete [RColor Brewer RdBu](https://colorbrewer2.org/#type=diverging\u0026scheme=RdBu\u0026n=9)\n- Qualitative: [Matplotlib Tab10](https://matplotlib.org/stable/_images/sphx_glr_colormaps_006.png)\n\n## Code\nFunctions specific to this book - e.g., plotting functions we use regularly - has been stored in the subpackage below.\nhttps://github.com/neurodata/graphbook-code\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneurodata%2Fgraph-stats-book","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fneurodata%2Fgraph-stats-book","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneurodata%2Fgraph-stats-book/lists"}