GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs
Published in ICDE, 2023
GALE combines active learning and adversarial training for efficient error detection in knowledge graphs.
Hanchao Ma
Ph.D. in Computer Science
Department of Computer & Data Sciences
Case School of Engineering
Case Western Reserve University
Cleveland, OH USA
- Cleveland, OH USA
- hxm382@case.edu
- Google Scholar