{
  "schema_version": "0.1.0",
  "record_type": "research-topic",
  "topic_id": "knowledge-graphs",
  "label": "Knowledge Graphs",
  "title": "Knowledge Graphs Research",
  "description": "Knowledge Graphs research papers in the Naser Ezzati-Jivan publication catalog.",
  "introduction": "This topic page groups Naser Ezzati-Jivan research papers related to knowledge graphs. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
  "aliases": [
    "knowledge graphs"
  ],
  "search_terms": [
    "Knowledge Graphs"
  ],
  "related_topics": [],
  "canonical_url": "https://threadslab.org/research-publications/topics/knowledge-graphs.html",
  "paper_count": 1,
  "papers": [
    {
      "paper_id": "taaf-trace-abstraction-analysis-framework",
      "title": "TAAF: A Trace Abstraction and Analysis Framework Synergizing Knowledge Graphs and LLMs",
      "year": 2026,
      "authors": [
        "Alireza Ezaz",
        "Ghazal Khodabandeh",
        "Majid Babaei",
        "Naser Ezzati-Jivan"
      ],
      "page_url": "https://threadslab.org/research-publications/papers/taaf-trace-abstraction-analysis-framework/",
      "canonical_source_url": "https://doi.org/10.1145/3744916.3787832",
      "core_contribution": "TAAF combines time-indexed knowledge graphs with large language models to turn large execution traces into queryable, actionable explanations.",
      "tags": [
        "kernel-tracing",
        "trace-analysis",
        "knowledge-graphs",
        "llm-assisted-analysis",
        "observability"
      ],
      "keywords": [
        "TAAF",
        "TraceQA-100",
        "time-indexed knowledge graph",
        "natural-language trace queries",
        "multi-hop reasoning",
        "causal reasoning"
      ]
    }
  ]
}