269 citations · 285 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Message Passing in Graph Convolution Networks via Adaptive Filter Banks
Xing Gao, Wenrui Dai, Chenglin Li +3
Graph convolution networks, like message passing graph convolution networks (MPGCNs), have been a powerful tool in representation learning of networked data. However, when data is…
Graph Pooling with Node Proximity for Hierarchical Representation Learning
Xing Gao, Wenrui Dai, Chenglin Li +2
Graph neural networks have attracted wide attentions to enable representation learning of graph data in recent works. In complement to graph convolution operators, graph pooling is…
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
Xing Gao, Hongkai Xiong, Pascal Frossard
With the advent of data science, the analysis of network or graph data has become a very timely research problem. A variety of recent works have been proposed to generalize neural…