LexiGraph-X

LexiGraph-X is a Level-5 NLP-driven knowledge graph engine that builds and continuously updates dynamic knowledge graphs from raw text streams.

It combines entity linking, relation extraction, temporal graph updates, and context-aware node weighting, enabling intelligent graph construction from unstructured data.

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🚀 Key Capabilities

• 🧠 Entity Linking
• 🔗 Relation Extraction
• ⏱️ Temporal Graph Updates
• 🎯 Context-Aware Node Weighting
• 🕸️ Dynamic Knowledge Graph Construction
• 🤗 Hugging Face–Ready (graph-ml)

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🧠 System Architecture

Raw Text Stream
   ↓
Text Ingestor
   ↓
Entity Linker
   ↓
Relation Extractor
   ↓
Context Encoder
   ↓
Graph Builder
   ↓
Temporal Graph Updater
   ↓
Node Weighting
   ↓
Dynamic Knowledge Graph

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📥 Input Format

{
  "texts": [
    "OpenAI developed ChatGPT.",
    "ChatGPT is used by developers worldwide."
  ]
}

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📤 Output Format

{
  "nodes": [
    {
      "name": "OpenAI",
      "type": "ORG",
      "weight": 1.05
    },
    {
      "name": "ChatGPT",
      "type": "TECH",
      "weight": 1.05
    }
  ],
  "edges": [
    {
      "source": "OpenAI",
      "relation": "developed_by",
      "target": "ChatGPT"
    }
  ]
}

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🛠️ Installation & Usage

git clone https://huggingface.co/<your-username>/lexigraph-x
cd lexigraph-x
python inference.py

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📁 Project Structure

lexigraph-x/
├── configs/
├── data/
├── src/
├── inference.py
├── evaluation.py
├── README.md
├── model_card.md
├── LICENSE
└── requirements.txt

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🎯 Use Cases

• Knowledge graph construction
• NLP-driven information extraction
• Research in graph intelligence
• Text-to-graph pipelines

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🔮 Future Improvements

• Transformer-based NER
• Graph Neural Networks
• Knowledge graph visualization

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📜 License

Apache License 2.0