共 50 条
- [1] Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection [J]. 23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023, 2023, : 11 - 20
- [2] Anomaly Detection Algorithm of Power System Based on Graph Structure and Anomaly Attention [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 79 (01): : 493 - 507
- [3] Network Traffic Anomaly Detection Algorithm Based on Intuitionistic Fuzzy Time Series Graph Mining [J]. IEEE ACCESS, 2020, 8 (08): : 63381 - 63389
- [4] A Graph-based Clustering Algorithm for Anomaly Intrusion Detection [J]. PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 1311 - 1314
- [5] An Anomaly Detection Algorithm for Hyperspectral Imagery based on Graph Laplacian [J]. AOPC 2020: OPTICAL SPECTROSCOPY AND IMAGING; AND BIOMEDICAL OPTICS, 2020, 11566
- [6] Anomaly-Aware Variational Graph Autoencoder Based Graph-Level Anomaly Detection Algorithm [J]. Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2024, 61 (08): : 1968 - 1981
- [7] Anomaly detection of traffic session based on graph neural network [J]. PROCEEDINGS OF THE 2022 INTERNATIONAL CONFERENCE ON CYBER SECURITY, CSW 2022, 2022, : 1 - 9
- [8] Graph Neural Network Based Anomaly Detection in Dynamic Networks [J]. Ruan Jian Xue Bao/Journal of Software, 2020, 31 (03): : 748 - 762
- [9] Network anomaly traffic detection algorithm based on SVM [J]. 2017 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS), 2017, : 217 - 220
- [10] Network anomaly detection based on selective ensemble algorithm [J]. The Journal of Supercomputing, 2021, 77 : 2875 - 2896