arXiv (OAI Expanded)
open access
Self-Supervised Learning of Graph Representations for Network Intrusion 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
- Self-Supervised Learning of Graph Representations for Network Intrusion Detection#612831
- Supervised machine learning intrusion detection review and multi-criteria evaluation.#162165
- HED-ID: a federated expert system for interpretable and resource-adaptive intrusion detection on edge devices.#988464
- Spatial-temporal graph neural network with autoencoder pretraining for intrusion detection in healthcare IoT ecosystems.#186070
- Spear and shield: adversarial attacks and defense methods for model-based link prediction on continuous-time dynamic graphs#395630
Record · ID 611354
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