{
  "id": 3868811,
  "title": "Feature Transformation Enhanced Jacobi Polynomial Graph Filtering for Graph Anomaly Detection",
  "url": "https://urgent.news/2026/08/27/feature-transformation-enhanced-jacobi-polynomial-graph-filtering-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-27T13:57:09.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.27144v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "In recent years, graph anomaly detection (GAD) based on frequency-domain filtering have achieved promising results. However, existing approaches still face three major challenges: First, they use static basic function to constructed graph filter which cannot effectively adapt to the frequency-domain distribution of graph data. Second, they fail to adequately consider the importance information of…",
  "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."
}