GraphAD

Author:

Chen Xu1,Qiu Qiu2,Li Changshan2,Xie Kunqing1

Affiliation:

1. Peking University, Beijing, China

2. Alibaba DAMO Academy, Hangzhou, China

Publisher

ACM

Reference20 articles.

1. Variational autoencoder based anomaly detection using reconstruction probability;An Jinwon;Special Lecture on IE,2015

2. George EP Box , Gwilym M Jenkins , Gregory C Reinsel , and Greta M Ljung . 2015. Time series analysis: forecasting and control . John Wiley & Sons . George EP Box, Gwilym M Jenkins, Gregory C Reinsel, and Greta M Ljung. 2015. Time series analysis: forecasting and control. John Wiley & Sons.

3. ]chentrafficstream Xu Chen Junshan Wang and Kunqing Xie. [n. d.]. TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning. ([n. d.]). ]chentrafficstream Xu Chen Junshan Wang and Kunqing Xie. [n. d.]. TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning. ([n. d.]).

4. TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting

5. Pengyu Cheng , Weituo Hao , Shuyang Dai , Jiachang Liu , Zhe Gan , and Lawrence Carin . 2020 . Club: A contrastive log-ratio upper bound of mutual information . In International Conference on Machine Learning. PMLR, 1779--1788 . Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, and Lawrence Carin. 2020. Club: A contrastive log-ratio upper bound of mutual information. In International Conference on Machine Learning. PMLR, 1779--1788.

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1. Data Warehouse, Detection and Transfer of Anomalies in Retail Data;The European Journal of Research and Development;2023-07-28

2. TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

3. DCFF-MTAD: A Multivariate Time-Series Anomaly Detection Model Based on Dual-Channel Feature Fusion;Sensors;2023-04-12

4. AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach;Proceedings of 2023 Chinese Intelligent Automation Conference;2023

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