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  "@id": "https://anchorfact.org/kb/knowledge-graph-reasoning",
  "headline": "Knowledge Graph Reasoning: Embedding-Based Link Prediction, Logical Inference, and Neurosymbolic Methods",
  "description": "Knowledge graph reasoning answers \"what facts are missing from this knowledge base?\" — predicting unknown relationships between entities using a combination of embedding-based pattern matching, graph neural networks, and logical rule inference. From drug repurposing to question answering, KG reasoning powers structured knowledge discovery across science and industry.",
  "dateCreated": "2026-05-24T02:49:13.622Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
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      "name": "Knowledge graph reasoning: Mainstream methods, applications, and future trends",
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      "name": "Bridging data and discovery: a survey on knowledge graphs in AI-driven scientific discovery",
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