most citedApplying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2026

Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection

Jianli Dai, Guangwei Wu, Jiacheng Li +3

Given their effectiveness in modeling the relational structure among network traffic flows, graph neural networks (GNNs) have been widely adopted in network intrusion detection sys…

cs.LG2024★ 2 cited

Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network

Renjie Xu, Guangwei Wu, Weiping Wang +3

Graph Neural Networks (GNNs) have garnered intensive attention for Network Intrusion Detection System (NIDS) due to their suitability for representing the network traffic flows. Ho…