2601.11954v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "6622d9b9628e0eb00d7db3c6c5108a2572820aa19c4f8690faf3a35d92f86e0a",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.11954v1.pdf",
      "size": 2222185
    },
    "source": {
      "execution_id": "f21bc31a-91ac-43aa-a939-a9d4c7dbce92",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-21T01:28:00Z",
      "keywords": [
        "Dynamic Graphs",
        "Graph Neural Networks",
        "Prompt Learning"
      ],
      "modified_date": "2026-01-21T01:28:00Z",
      "page_count": 10,
      "producer": "pikepdf 8.15.1",
      "subject": "-  Computing methodologies  -\u003e  Machine learning.",
      "title": "Data-centric Prompt Tuning for Dynamic Graphs",
      "version": "1.7"
    },
    "source": {
      "execution_id": "d7217f71-504d-4544-9876-ac0798c08f0e",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}