Getting started

• Prior Knowledge and Graphs
  • Manually creating a graph
  • Edge attributes
  • Modyfing attributes
  • Importing graphs
  • Saving and reading
  • Hypergraphs
• Working with data
  • Creating a new dataset from a dictionary
  • Querying features
  • Working across multiple samples
  • Saving and loading datasets
• Plotting
  • 1. Basic graph visualization
  • 2. Visual encoding from values
  • 3. Presets for common workflows
    • Metabolic flux visualization
    • Method-aware presets and role styling
  • 4. Theme customization
  • 5. Export and interoperability
  • 6. Browser/WASM rendering
  • 7. Custom processors
• Constrained Optimization
  • The Knapsack Problem