awesome-repositories.com
ब्लॉग
awesome-repositories.com

AI-संचालित खोज के साथ बेहतरीन ओपन-सोर्स रिपॉजिटरी खोजें।

एक्सप्लोर करेंक्यूरेटेड खोजेंOpen-source alternativesSelf-hosted softwareब्लॉगसाइटमैप
प्रोजेक्टहमारे बारे मेंHow we rankप्रेसMCP सर्वर
कानूनीगोपनीयताशर्तें
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 रिपॉजिटरी

Awesome GitHub RepositoriesNode Categorization

Organizing nodes into categories by creating dedicated category nodes and linking original nodes to them.

Distinguishing note: None of the candidates describe the structural pattern of using nodes to represent categories for other nodes.

Explore 2 awesome GitHub repositories matching data & databases · Node Categorization. Refine with filters or upvote what's useful.

Awesome Node Categorization GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • memgraph/memgraphmemgraph का अवतार

    memgraph/memgraph

    4,163GitHub पर देखें↗

    Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr

    The product creates category nodes based on property values and links original nodes to them.

    C++cyphergraphgraph-algorithms
    GitHub पर देखें↗4,163
  • mahdibland/v2rayaggregatormahdibland का अवतार

    mahdibland/V2RayAggregator

    3,989GitHub पर देखें↗

    V2RayAggregator is a tool designed to collect, filter, and convert network bypass nodes from multiple public sources. It functions as a proxy aggregator that identifies and gathers Shadowsocks, Trojan, and Vmess nodes to maintain a comprehensive pool of connection points. The project distinguishes itself through its ability to transform proxy lists into multiple standardized schemas, including Base64, Mixed, and Clash YAML formats, ensuring compatibility across various client applications. It also utilizes a performance filter to measure average connection speeds, allowing it to rank and iden

    Groups aggregated proxies by their origin to distinguish between provider types.

    Pythonairportbest-nodeschina-censorship
    GitHub पर देखें↗3,989
  1. Home
  2. Data & Databases
  3. Node Categorization