Learning Node Abnormality with Weak Supervision

Keyphrases

• Unsupervised Learning 100%
• Node Abnormality 100%
• Node Level 66%
• Graph Element 66%
• Graph Anomaly Detection 66%
• Social Network Analysis 33%
• Challenging Problems 33%
• Plethora 33%
• Substructure 33%
• Node number 33%
• Anomaly Detection 33%
• Application Domain 33%
• Human Effort 33%
• Unsupervised Method 33%
• Anomalous Nodes 33%
• Attention Mechanism 33%
• Granularity Level 33%
• Intrinsic Relationship 33%
• Novel Architectures 33%
• Few Labels 33%
• ROC-AUC 33%
• Network Representation Learning 33%
• Contrastive Loss 33%
• Fine-grained Annotation 33%
• Graph Neural Network 33%

Computer Science

• Annotation 100%
• Anomaly Detection 100%
• Representation Learning 33%
• Social Network Analysis 33%
• Application Domain 33%
• Subgraphs 33%
• Granularity 33%
• Unsupervised Manner 33%
• Attention (Machine Learning) 33%
• Contrastive Loss 33%
• Graph Neural Network 33%