Springer Nature OA
open access
CC BY-NC-ND 4.0
EGA: ensemble of graph autoencoder for unsupervised anomaly detection
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- PRA-TAM: prototype-regularised residual affinity maximisation for unsupervised graph anomaly detection#425890
- RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection#617691
- RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection#617191
- Graph Anomaly Detection as Finite-Horizon Control: Training-Free Scoring via Empirical Bayes#1143025
- Anomaly detection for multijet scenarios#819602
Record · ID 223494
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive