Fu-Lai Chung

Deep Network Embedding with Aggregated Proximity Preserving

2017

Network embedding is an effective method to learn a low-dimensional feature vector representation for each node of a given network. In this paper, we propose a deep network embedding model with aggregated proximity preserving (DNE-APP). …

Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning

2022 · Society for Industrial and Applied Mathematics eBooks

Network anomaly detection is a crucial task since a few anomalies can cause huge losses. Semi-supervised anomaly detection methods can effectively leverage a small number of labels as prior knowledge to enhance detection accuracy. But …