4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Revisiting Graph Contrastive Learning for Anomaly Detection
Zhiyuan Liu, Chunjie Cao, Fangjian Tao +1
Combining Graph neural networks (GNNs) with contrastive learning for anomaly detection has drawn rising attention recently. Existing graph contrastive anomaly detection (GCAD) meth…
cs.CV2022★ 4 cited
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information
Zhiyuan Liu, Chunjie Cao, Jingzhang Sun
Anomaly detection is defined as discovering patterns that do not conform to the expected behavior. Previously, anomaly detection was mostly conducted using traditional shallow lear…
cs.NI2019★ 3 cited
A Practical Marine Wireless Sensor Network Monitoring System Based on LoRa and MQTT
Ao Huang, Mengxing Huang, Zhentang Shao +3
Under the advocacy of the international community, more and more research topics have been built around the ocean. This paper proposed an implementation scheme of marine wireless s…