{
  "id": 9100690,
  "title": "Reaction-aware hypergraph learning of chemical representations with LARK",
  "url": "https://urgent.news/2026/09/21/reaction-aware-hypergraph-learning-of-chemical-representations-with",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-21T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.15.751932v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Molecular pretraining offers a route to learning transferable chemical representations from unlabelled data. However, existing approaches pretrained on isolated molecular structures struggle to generalize to reaction-specific tasks because their pretraining objectives provide limited information about chemical transformations. A key challenge is to integrate this reaction information into…",
  "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."
}