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    1. Home
    2. Themed Directories
    3. Awesome Graph Embedding

    Awesome Graph Embedding

    An Awesome collection of graph embedding research papers with their corresponding implementations.

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    Information

    Websitegithub.com
    PublishedDec 30, 2025

    Categories

    1 Item
    Themed Directories

    Tags

    3 Items
    #machine-learning#graph#awesome-lists

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    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-classification repo):
      • chapters/ directory organizing content into topical sections
      • README.md with 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 LICENSE file).