Survey and Evaluation of Hyperbolic Graph Embeddings for Anomaly Detection
Published:Dec 21, 2025 17:19
•1 min read
•ArXiv
Analysis
This ArXiv paper provides a valuable overview of hyperbolic graph embeddings and their application to anomaly detection. The focus on both surveying existing methods and evaluating their performance is a key strength, indicating a comprehensive and practical approach.
Key Takeaways
- •Presents a survey of hyperbolic graph embedding techniques.
- •Evaluates the performance of these techniques on anomaly detection tasks.
- •Contributes to a better understanding of graph representation learning.
Reference
“The paper focuses on both surveying existing methods and evaluating their performance.”