Showing 2 open source projects for "community detection algorithm"

View related business solutions
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • Paessler - Monitor Your Whole Network in Minutes Icon
    Paessler - Monitor Your Whole Network in Minutes

    Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.

    Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
    Start Free 30-Day Trial
  • 1
    docToolchain

    docToolchain

    AsciiDoc Toolchain for technical Software Documentation

    docToolchain is a toolkit built around the “docs as code” philosophy, designed to make writing, maintaining, and publishing technical documentation as smooth as software development itself. It provides a suite of scripts and integrations to generate documentation from AsciiDoc (and related formats), run automated checks, incorporate diagrams, and publish outputs in different formats (HTML, PDF, etc.). The framework encourages documentation and architecture artifacts to live alongside source...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Awesome Graph Classification

    Awesome Graph Classification

    Graph embedding, classification and representation learning papers

    A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next