IEEE

Compact Path Representations for Graph Database Pattern Matching

Abstract: Modern graph database query languages such as GQL, SQL/PGQ, and Cypher allow regular path queries to return entire paths, as opposed to only their endpoints. This is challenging for query ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
IEEE

DIG-Mol: A Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction

Abstract: Molecular property prediction is a key component of AI-driven drug discovery and molecular characterization learning. Despite recent advances, existing methods still face challenges such as ...
GitHub

Query your Delta Tables as a Graph

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...