{"id":15716297,"url":"https://github.com/gtsitsik/multi-graph-explorer","last_synced_at":"2025-03-30T20:45:00.623Z","repository":{"id":253896228,"uuid":"837765856","full_name":"gtsitsik/multi-graph-explorer","owner":"gtsitsik","description":"A framework for advanced multi-graph analysis and method development","archived":false,"fork":false,"pushed_at":"2025-01-31T11:32:43.000Z","size":666,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-05T23:53:31.647Z","etag":null,"topics":["graph-algorithms","matlab","matlab-gui","multi-graph","multi-view-clustering","multilayer-networks","multiplex-networks","spectral-clustering","tensor-decomposition","visualization"],"latest_commit_sha":null,"homepage":"","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gtsitsik.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-04T00:55:46.000Z","updated_at":"2025-01-31T11:22:27.000Z","dependencies_parsed_at":null,"dependency_job_id":"5cb1bb72-61a4-4979-9e9a-524e4d926ed9","html_url":"https://github.com/gtsitsik/multi-graph-explorer","commit_stats":null,"previous_names":["gtsitsik/multi-graph-explorer"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gtsitsik%2Fmulti-graph-explorer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gtsitsik%2Fmulti-graph-explorer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gtsitsik%2Fmulti-graph-explorer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gtsitsik%2Fmulti-graph-explorer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gtsitsik","download_url":"https://codeload.github.com/gtsitsik/multi-graph-explorer/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246379377,"owners_count":20767694,"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":["graph-algorithms","matlab","matlab-gui","multi-graph","multi-view-clustering","multilayer-networks","multiplex-networks","spectral-clustering","tensor-decomposition","visualization"],"created_at":"2024-10-03T21:44:58.081Z","updated_at":"2025-03-30T20:45:00.574Z","avatar_url":"https://github.com/gtsitsik.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n\u003cdiv align=\"center\"\u003e\n\n\n# Multi-Graph Explorer\n\n### A Framework for Advanced Multi-Graph Analysis and Method Development\n\n\u003cimg src=\"images/multi_structure_multi_relational_graph_2_new.png\" alt=\"Multi-Graph Explorer Screenshot\" width=\"500\"/\u003e\n\n\u003c/div\u003e\n\n\n\n## Overview\nMulti-Graph Explorer is a MATLAB software that aims to enable researchers to\nstreamline all stages of multi-graph method development, while also providing\npractitioners with a unified toolkit for efficiently discovering structure in\nreal-world multi-graphs.\n\n![test](images/main_fig.png)\n\n\nThis project is associated with the following demo paper:\n\n|Yorgos Tsitsikas and Evangelos E. Papalexakis. Multi-graph explorer: A framework for advanced multi-graph analysis and method development. In _Proceedings of the 33nd ACM International Conference on Information and Knowledge Management_, October 2024|\n| :--- |\n\nAlso, the published manuscript can be accessed here: https://dl.acm.org/doi/10.1145/3627673.3679213\n\nBibTeX users can cite this work as follows:\n```bibtex\n@inproceedings{multi-graph-explorer,\n  title={Multi-Graph Explorer: A framework for Advanced Multi-Graph Analysis and Method Development},\n  author={Tsitsikas, Yorgos and Papalexakis, Evangelos E.},\n  booktitle={Proceedings of the 33rd ACM International Conference on Information and Knowledge Management},\n  year={2024},\n  month={October},\n  doi={10.1145/3627673.3679213},\n  isbn={979-8-4007-0436-9/24/10}\n}\n```\n\n\n\n\n### Features\n\n- **Artificial multi-graph generator**: Generate artificial multi-graphs in a succinct yet flexible and\n  comprehensive manner.\n- **Efficient non-standard parameter sweeps**:  Define value ranges for\n  arbitrary combinations of all parameters and their subparameters for a thorough\n  and systematic study of the multi-graph analysis workflow. \n- **Interactive graphical user interface**: Adjust the parameters of the\n  experiments and explore their results efficiently and intuitively.\n- **High-quality method implementations**: Experiment with optimized\n  implementations of existing multi-graph methods.\n- **Customization and Extensibility**: Multi-Graph Explorer aims to maximize\n  the ability of the users to customize the environment and to augment it with\n  additional functionality.\n\nhttps://github.com/user-attachments/assets/60a2409e-daf6-474a-97f7-f44a0e7fdd2a\n\n## Dependencies\n\n- [MATLAB](https://www.mathworks.com/products/matlab.html) - **Required** (Tested on MATLAB 2019b)\n- [MATLAB Statistics and Machine Learning Toolbox](https://www.mathworks.com/products/statistics.html) - **Required**\n- [MATLAB Image Processing Toolbox](https://www.mathworks.com/products/image-processing.html) - **Required**\n- [scikit-learn](https://scikit-learn.org/stable/) - **Required** (Tested with Python 3.6 and scikit-learn 0.24.2)\n- [MATLAB Parallel Computing Toolbox](https://www.mathworks.com/products/parallel-computing.html) - **Optional**\n- [MTIMESX](https://www.mathworks.com/matlabcentral/fileexchange/25977-mtimesx-fast-matrix-multiply-with-multi-dimensional-support) - **Optional**\n\n## Installation\n- Make sure the current directory within MATLAB is the project's root directory at all times.\n- For instructions on how to configure MATLAB to use Python see [here](https://www.mathworks.com/help/matlab/matlab_external/install-supported-python-implementation.html).\n\n## Usage\n- Run `single_run_GUI.m` to launch the Single-Combination Parameter Explorer.\n- Run `param_sweep_explore_demo.m` to see an example of using the Multi-Combination Parameter Explorer.\n- For further documentation, use MATLAB's `help` function (e.g. `help single_run_GUI.m`).  \n\n## License\n[Apache License, Version 2.0](./LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgtsitsik%2Fmulti-graph-explorer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgtsitsik%2Fmulti-graph-explorer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgtsitsik%2Fmulti-graph-explorer/lists"}