Graph Level Anomaly Detection (original) (raw)
Related papers
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
IEEE Transactions on Knowledge and Data Engineering
Graph-based Anomaly Detection and Description: A Survey
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Unsupervised Identification of Abnormal Nodes and Edges in Graphs
Journal of Data and Information Quality
A Probabilistic Approach to Uncovering Attributed Graph Anomalies
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
J. Internet Serv. Inf. Secur., 2022
Adaptive Graph-Based Algorithms for Conditional Anomaly Detection and Semi-Supervised Learning
Anomalous Subgraph Detection in Given Expected Degree Networks With Deep Learning
IEEE Access, 2021
Deep Detection of Anomalies in Static Attributed Graph
Communications in Computer and Information Science, 2020
Anomaly detection in large evolving graphs
2017
Graph Fairing Convolutional Networks for Anomaly Detection
2020
Anomaly detection for random graphs using distributions of vertex invariants
Nash Borges, Gerard Meyer, Carey Priebe
2011 45th Annual Conference on Information Sciences and Systems, 2011
Anomalous subgraph detection via Sparse Principal Component Analysis
2011 IEEE Statistical Signal Processing Workshop (SSP), 2011
Anomaly Detection in Dynamic Graphs via Transformer
ArXiv, 2021
Cornell University - arXiv, 2022
Deep Anomaly Detection on Attributed Networks
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
AD-Graph: Weakly Supervised Anomaly Detection Graph Neural Network
International Journal of Intelligent Systems
Adversarial Robustness of Graph-based Anomaly Detection
Cornell University - arXiv, 2022
Mining for structural anomalies in graph-based data
Nonparametric Anomaly Detection on Time Series of Graphs
2019
Anomaly detection with convolutional Graph Neural Networks
Journal of High Energy Physics, 2021
Community Feature Selection for Anomaly Detection in Attributed Graphs
Statistical Learning for Change Point and Anomaly Detection in Graphs
Springer International Publishing eBooks, 2020
arXiv (Cornell University), 2022
Hypergraph-Based Anomaly Detection of High-Dimensional Co-Occurrences
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
ArXiv, 2021
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
arXiv (Cornell University), 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
Cornell University - arXiv, 2022
Benchmarking Node Outlier Detection on Graphs
arXiv (Cornell University), 2022