Yuhao Su
Graph anomaly detection is an important area in data mining that has been widely received attention from academia and industries in recent years. Examples of its applications are fraud detection, recommendation system based on social network as well as others from different industries. Rather than general i.i.d. datasets, graph data represents some network that contains nodes and edges, bringing correlation within the dataset, sparsity as well as other challenges for researchers. Additionally, nodes can contain other information as well, which is called the attributed graph.