Dual-discriminative graph neural network for imbalanced graph-level anomaly detection

G Zhang, Z Yang, J Wu, J Yang, S Xue… - Advances in …, 2022 - proceedings.neurips.cc
Graph-level anomaly detection aims to distinguish anomalous graphs in a graph dataset
from normal graphs. Anomalous graphs represent a very few but essential patterns in the …
被引用次数：26 相关文章
[PDF] neurips.cc

[PDF][PDF] Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

G Zhang, Z Yang, J Wu, J Yang, X Shan, H Peng, J Su… - papers.neurips.cc
Graph-level anomaly detection aims to distinguish anomalous graphs in a graph dataset
from normal graphs. Anomalous graphs represent a very few but essential patterns in the …

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

G Zhang, Z Yang, J Wu, J Yang, S Xue… - Advances in Neural …, 2022 - openreview.net
Graph-level anomaly detection aims to distinguish anomalous graphs in a graph dataset
from normal graphs. Anomalous graphs represent a very few but essential patterns in the …

Dual-discriminative graph neural network for imbalanced graph-level anomaly detection

G Zhang, Z Yang, J Wu, J Yang, S Xue… - Conference on …, 2022 - researchers.mq.edu.au
Graph-level anomaly detection aims to distinguish anomalous graphs in a graph dataset
from normal graphs. Anomalous graphs represent a very few but essential patterns in the …

Dual-discriminative graph neural network for imbalanced graph-level anomaly detection

G Zhang, Z Yang, J Wu, J Yang, X Shan… - Proceedings of the 36th …, 2022 - dl.acm.org
Graph-level anomaly detection aims to distinguish anomalous graphs in a graph dataset
from normal graphs. Anomalous graphs represent a very few but essential patterns in the …

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

G Zhang, Z Yang, J Wu, J Yang, X Shan… - Advances in Neural …, 2022 - ro.uow.edu.au
Graph-level anomaly detection aims to distinguish anomalous graphs in a graph dataset
from normal graphs. Anomalous graphs represent a very few but essential patterns in the …

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

G Zhang, Z Yang, J Wu, J Yang, X Shan… - Annual Conference …, 2022 - research.ibm.com
Graph-level anomaly detection aims to distinguish anomalous graphs in a graph dataset
from normal graphs. Anomalous graphs represent a very few but essential patterns in the …