Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration

NeurIPSSpotlight2025

Authors
Junyu Zhang, Lizhong Ding, MinghongZhang, Ye Yuan, Xingcan Li, Pengqi Li, Tihang Xi, Guoren Wang, Changsheng Li
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Multi-table data integrate various entities and attributes, with potential interconnections between them…

Opening excerpt from the authors’ abstract. source

Read the paper

← All NeurIPS 2025 Spotlight papers · Browse the whole archive