{
  "id": 3414213,
  "title": "FedV-KGQA: Multi-Hop Question Answering over Vertically Partitioned Knowledge Graphs",
  "url": "https://urgent.news/2026/08/25/fedv-kgqa-multi-hop-question-answering-over-vertically-partitioned",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T17:34:27.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.24846v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Real-world data for knowledge graph question answering is often distributed across different organizations due to governance and data sovereignty constraints. While centralized systems exist, they cannot answer multi-hop questions when the required facts are split across vertically partitioned silos. In this paper, we propose FedV-KGQA, a framework for multi-hop reasoning over knowledge graphs in…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}