{"id":13408329,"url":"https://github.com/benedekrozemberczki/awesome-graph-classification","last_synced_at":"2025-05-14T18:02:39.804Z","repository":{"id":41176147,"uuid":"140943444","full_name":"benedekrozemberczki/awesome-graph-classification","owner":"benedekrozemberczki","description":"A collection of important graph embedding, classification and representation learning papers with 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Awesome Lists","Technical","Python","Graphs","Computer Science","Others","Table of Contents","📦 Legacy \u0026 Inactive Projects","Graph Learning","Books","Varia","100 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲","Awesome lists","Awesome List","Learning Resources","Learning","Core Machine Learning Research"],"sub_categories":["Uncategorized","Comics","awesome-*","Data Visualization","Tutorials","Graph theory","Ukraine","Awesome GitHub Resources","Graph Learning and Knowledge Graphs"],"readme":"# Awesome Graph Classification\n[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)\n![License](https://img.shields.io/github/license/benedekrozemberczki/awesome-graph-embedding.svg?color=blue)\n[![repo size](https://img.shields.io/github/repo-size/benedekrozemberczki/awesome-graph-classification.svg)](https://github.com/benedekrozemberczki/awesome-graph-classification/archive/master.zip) [![benedekrozemberczki](https://img.shields.io/twitter/follow/benrozemberczki?style=social\u0026logo=twitter)](https://twitter.com/intent/follow?screen_name=benrozemberczki) \n\nA collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations.\n\nRelevant graph classification benchmark datasets are available [[here]](https://github.com/shiruipan/graph_datasets).\n\nSimilar collections about [community detection](https://github.com/benedekrozemberczki/awesome-community-detection), [classification/regression tree](https://github.com/benedekrozemberczki/awesome-decision-tree-papers), [fraud detection](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers), [Monte Carlo tree search](https://github.com/benedekrozemberczki/awesome-monte-carlo-tree-search-papers), and [gradient boosting](https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers) papers with implementations.\n\n\u003cp align=\"center\"\u003e\n  \u003cimg width=\"400\" src=\"atlas.png\"\u003e\n\u003c/p\u003e\n\n-------------------------------------------------\n\n## Contents  \n\n1. [Matrix Factorization](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/chapters/matrix_factorization.md)  \n2. [Spectral and Statistical Fingerprints](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/chapters/fingerprints.md)\n3. [Deep Learning](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/chapters/deep_learning.md)  \n4. [Graph Kernels](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/chapters/kernels.md)\n\n-----------------------------------------------\n\n**License**\n\n- [CC0 Universal](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenedekrozemberczki%2Fawesome-graph-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbenedekrozemberczki%2Fawesome-graph-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenedekrozemberczki%2Fawesome-graph-classification/lists"}