arXiv (All)
open access
The Selection Rule Decides the Winner: A Pre-Registered Audit of Open-Set Graph Anomaly Detection
Open-set graph anomaly detection trains on a few labeled anomalies from one class and must also find anomaly classes that were never labeled. Published results share three conventions: the test score is read at the best epoch on the test set, baseline numbers are copied from earlier papers, and most
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
- Constrained Bayesian Optimization for Hierarchical Federated Learning in IoT Networks for Plant Disease Classification#668002
- 50 U.S.C. § 3058 — National Intelligence Centers#599364
- RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations#1155019
- 50 U.S.C. § 3027 — National Intelligence Council#599323
- Confirmation, transitivity, and Moore: the Screening-Off Approach#763510
Record · ID 1118082
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