{
  "id": 18435920,
  "title": "KG-Neighbor: Knowledge-Guided Neighborhood Construction for Embedding Visualization",
  "url": "https://urgent.news/2026/11/04/kg-neighbor-knowledge-guided-neighborhood-construction-for-embedding",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-04T23:54:02.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.07246v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "In embedding visualizations, nearby instances are interpreted as semantically related, although neighborhoods derived from input embeddings may not reflect content relationships. Neighborhood-based dimensionality reduction (DR) methods can propagate this limitation by optimizing layouts from embedding-based neighborhood graphs. We propose Knowledge-Guided Neighborhood Graph Construction (KGN),…",
  "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."
}