negsc-fraud-detection
Project status: UnknownReimplementation of NEGSC: a Node-Edge Graph Attention encoder (NEGAT) with graph-contrastive self-supervised learning (Wasserstein + Gromov-Wasserstein distance losses) for network intrusion detection on NetFlow data (NF-BoT-IoT-v2).
- Target software or hardware
- Work type
- Primary public repository
- github.com/ilya-jahed/negsc-fraud-detection
Projects are sorted by the latest recorded repository star count. Stars indicate interest, not completion. Missing counts remain unknown.
Reported progress
Checklist completion: ≈100%
negsc-nids — Status — 6/6 listed items checked; items are equally weighted
· Source
About and scope
Reimplementation of NEGSC: a Node-Edge Graph Attention encoder (NEGAT) with graph-contrastive self-supervised learning (Wasserstein + Gromov-Wasserstein distance losses) for network intrusion detection on NetFlow data (NF-BoT-IoT-v2).
Contribution availability
Contribution policy unknown
- AI-assisted contribution policy
- Unspecified
Documented contributor systems
Contributor setup not documented
Sources, builds and releases
- Open repository · github.comgithub.com/ilya-jahed/negsc-fraud-detection