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Found 4 papers, 2 papers with code
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
We present AutoSchemaKG, a framework for fully autonomous knowledge graph construction that eliminates the need for predefined schemas.
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
Large Language Models (LLMs) are catalyzing a paradigm shift in scientific discovery, evolving from task-specific automation tools into increasingly autonomous agents and fundamentally redefining research processes and human-AI collaboration.
Transformers for Complex Query Answering over Knowledge Hypergraphs
In order to model data that is closer to real-world distribution, knowledge graphs with different modalities have been introduced.
Top Ten Challenges Towards Agentic Neural Graph Databases
This paper introduces Agentic Neural Graph Databases (Agentic NGDBs), which extend NGDBs with three core functionalities: autonomous query construction, neural query execution, and continuous learning.
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