Graph Neural Networks & Relational AI
When relationships matter more than rows and columns, graph AI becomes the right tool. Fluctuology builds GNN and relational ML solutions for complex systems—supply chains, engineering dependencies, and knowledge graphs.
Graph modeling
Turn your entities and relationships into a graph that supports prediction, search, and decision-making.
Use-case fit
Link prediction, similarity, fraud/risk networks, supplier mapping, and system dependency analysis.
Pipeline & storage
Build ETL, graph construction, and feature pipelines; integrate with graph databases when appropriate.
Evaluation
Robust offline metrics and sanity checks to avoid “looks good” models that fail in production.
Typical deliverables
- Graph schema design + construction pipeline
- GNN model + training and evaluation report
- Embeddings/search services or prediction API
- Operational playbook for updates and monitoring
Where GNN shines
- Supplier / customer networks and cross-border operations
- Knowledge graphs for technical documentation and parts
- Complex dependencies in engineering systems
- Risk detection through relational signals