Awesome Graph Embedding
An Awesome collection of graph embedding research papers with their corresponding implementations.
About this tool
Awesome Graph Embedding
Description
A curated collection of important research papers on graph embedding, graph classification, and graph representation learning, each linked with their corresponding code implementations.
Category
- Themed directories
Tags
- Machine learning
- Graph
- Awesome lists
Source
- GitHub repository: https://github.com/benedekrozemberczki/awesome-graph-embedding
Features
- Curated paper collection – Aggregates key research papers on:
- Graph embedding
- Graph classification
- Graph representation learning
- Code implementations – Each listed paper is accompanied by links to available implementations.
- Repository structure (inferred from related
awesome-graph-classificationrepo):chapters/directory organizing content into topical sectionsREADME.mdwith the main index of papers and links- Contribution guidelines (
contributing.md) - Code of conduct (
code-of-conduct.md) - License file (
LICENSE)
- Open contribution model – Pull requests are welcomed for adding or updating papers and implementations.
- Awesome list compliance – Follows the general structure and conventions of GitHub “awesome” lists (e.g., categorized links, concise annotations).
Pricing
- Free and open-source (no pricing or paid plans indicated).
License
- Distributed under an open-source license (exact license type is specified in the repository
LICENSEfile).
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Information
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