GEDet: Adversarially Learned Few-Shot Detection of Erroneous Nodes in Graphs
Published in BigData, 2020
A few-shot adversarial learning framework for detecting errors 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