2 papers
cs.LG2020
Fractional order graph neural network
Zijian Liu, Chunbo Luo, Shuai Li +2
This paper proposes fractional order graph neural networks (FGNNs), optimized by the approximation strategy to address the challenges of local optimum of classic and fractional gra…
cs.CR2019
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework
He Zhang, Xingrui Yu, Peng Ren +2
Intrusion detection systems (IDSs) play an important role in identifying malicious attacks and threats in networking systems. As fundamental tools of IDSs, learning based classific…