3 papers
cs.AI2026
MetaRTL: Meta-path Attention Enhanced Relational Table Learning
Ken Zhong, Weichen Li, Zheng Wang
Relational table learning has gained increasing attention with the widespread use of relational databases. Existing methods typically rely on deep GNN or HGNN stacks, leading to hi…
cs.LG2026
InRTL: Effective Intra-Inter Interaction Learning for Relational Tables
Weichen Li, Ken Zhong, Zheng Wang +2
Relational table learning has recently emerged as an important research direction for modeling multiple tables connected through primary key-foreign key (PK-FK) relationships. Desp…
cs.DB2026
TLSQL: Table Learning Structured Query Language
Feiyang Chen, Ken Zhong, Aoqian Zhang +3
Table learning has recently emerged as an important paradigm at the intersection of database systems and machine learning. However, applying table learning in practice often requir…