HyperJoin: LLM-Enhanced Hypergraph Approach to Joinable Table Discovery
Analysis
Key Takeaways
- •HyperJoin uses a hypergraph to model tables and their relationships.
- •It employs a Hierarchical Interaction Network (HIN) for column representation learning.
- •A coherence-aware reranking module improves the consistency of join results.
“To address these limitations, we propose HyperJoin, a large language model (LLM)-augmented Hypergraph framework for Joinable table discovery.”