A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
–Neural Information Processing Systems
Extensive knowledge graphs (KGs) have been constructed to facilitate knowledge-driven tasks across various scenarios.
Neural Information Processing Systems
Nov-13-2025, 15:26:43 GMT
- Country:
- Africa > Ethiopia
- Addis Ababa > Addis Ababa (0.04)
- Asia
- China
- Beijing > Beijing (0.04)
- Jiangsu Province > Nanjing (0.04)
- Macao (0.04)
- Middle East
- Jordan (0.04)
- UAE > Abu Dhabi Emirate
- Abu Dhabi (0.04)
- Myanmar > Tanintharyi Region
- Dawei (0.04)
- China
- Europe
- Austria > Vienna (0.14)
- Belgium > Brussels-Capital Region
- Brussels (0.04)
- Denmark > Capital Region
- Copenhagen (0.04)
- France > Auvergne-Rhône-Alpes
- Ireland > Leinster
- County Dublin > Dublin (0.04)
- Slovenia > Central Slovenia
- Municipality of Ljubljana > Ljubljana (0.04)
- Spain > Catalonia
- Barcelona Province > Barcelona (0.04)
- Sweden > Stockholm
- Stockholm (0.04)
- North America
- Canada > Ontario
- Toronto (0.04)
- Dominican Republic (0.04)
- United States
- California
- Los Angeles County > Long Beach (0.04)
- Orange County > Anaheim (0.04)
- San Diego County > San Diego (0.04)
- District of Columbia > Washington (0.04)
- Hawaii > Honolulu County
- Honolulu (0.04)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Texas > Travis County
- Austin (0.04)
- California
- Canada > Ontario
- Oceania > Australia
- South America > Brazil
- Rio de Janeiro > Rio de Janeiro (0.04)
- Africa > Ethiopia
- Genre:
- Research Report > Experimental Study (0.93)
- Industry:
- Information Technology (0.67)
- Technology: