7-4 大规模图数据中的异常检测.pptx

1、Anomaly Detection in Graphs,Yang YangZhejiang University,Including joint work with Yifei Sun,Ziwei Chai,Junru Chen,Xuan Yang ZJU;Jiarong Xu FDU;Chunping Wang and Lei Chen FinVolution;Yizhou Sun UCLA.,Yang Yang(杨洋),Associate Professor,Zhejiang UniversityDean of AI DepartmentPh.D.from Tsinghua Univers

2、ity 2016(advised by Jie Tang and Juanzi Li)Visit Cornell 2012(work with John Hopcroft)Visit KU Leuven 2013(work with Sien Moens)Research:artificial intelligence in networks and deep learning for large-scale dynamic time-series.,Anomaly Detection,Computational Social Science,Representation Learning,A

3、pplications,Research,Social and Information Network,Time Series Modeling via Graphs,Anomaly Detection in Real World,Telecom,E-commerce,Games,Finance,Society,Energy,500 million phone frauds at a cost of$16.4 billion in 2021,GDP in India was reported to drop 1.5%due to electricity theft,4.8 million pe

4、ople were identified theft and fraud,1.1 billion game bots banned over 6 months,Payment card fraud losses reached$27.85 billion in 2018,The value of potential fraud across online retailers faced a loss of$60 billion,Recovery Process after COVID Lockdowns,We use 76 million electricity consumption rec

5、ords of 10K organizations spanning two years to measure the recovery process of different sectors.,Xuan Yang,Yang Yang,Chenhao Tan,Yinghe Lin,Fei Wu,Yueting Zhuang.Unfolding and Modeling the Recovery Process after COVID Lockdowns.Preprint,2022.,Which Sectors Shall Government Support?,We learn a grap

6、h to represent influence relationships between organizations and explore the promotion policy-making.,Xuan Yang,Yang Yang,Chenhao Tan,Yinghe Lin,Fei Wu,Yueting Zhuang.Unfolding and Modeling the Recovery Process after COVID Lockdowns.Preprint,2022.,Risk management Identify default borrowers with 90+d