12 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 12 cited
Class Label-aware Graph Anomaly Detection
Junghoon Kim, Yeonjun In, Kanghoon Yoon +2
Unsupervised GAD methods assume the lack of anomaly labels, i.e., whether a node is anomalous or not. One common observation we made from previous unsupervised methods is that they…
cs.DC2023
A Blockchain-based Platform for Reliable Inference and Training of Large-Scale Models
Sanghyeon Park, Junmo Lee, Soo-Mook Moon
As artificial intelligence (AI) continues to permeate various domains, concerns surrounding trust and transparency in AI-driven inference and training processes have emerged, parti…