Files

ArnoChen 460a2cda02 refactoring the graph visualizer

bump version

format

format

2025-02-03 22:56:54 +08:00

3D GraphML Viewer

An interactive 3D graph visualization tool based on Dear ImGui and ModernGL.

Features

3D Interactive Visualization: High-performance 3D graphics rendering using ModernGL
Multiple Layout Algorithms: Support for various graph layouts
- Spring layout
- Circular layout
- Shell layout
- Random layout
Community Detection: Automatic detection and visualization of graph community structures
Interactive Controls:
- WASD + QE keys for camera movement
- Right mouse drag for view angle control
- Node selection and highlighting
- Adjustable node size and edge width
- Configurable label display
- Quick navigation between node connections

Launch the Program:

python -m pip install -r requirements.txt
python graph_visualizer.py

Load Font:
- Place the font file font.ttf in the assets directory
- Or modify the CUSTOM_FONT constant to use a different font file
Load Graph File:
- Click the "Load GraphML" button in the interface
- Select a graph file in GraphML format
Interactive Controls:
- Camera Movement:
  - W: Move forward
  - S: Move backward
  - A: Move left
  - D: Move right
  - Q: Move up
  - E: Move down
- View Control:
  - Hold right mouse button and drag to rotate view
- Node Interaction:
  - Hover mouse to highlight nodes
  - Click to select nodes
Visualization Settings:
- Adjustable via UI control panel:
  - Layout type
  - Node size
  - Edge width
  - Label visibility
  - Label size
  - Background color

Node Scaling: Adjust node size via node_scale parameter
Edge Width: Modify edge width using edge_width parameter
Label Display: Toggle label visibility with show_labels
Label Size: Adjust label size using label_size
Label Color: Set label color through label_color
View Distance: Control maximum label display distance with label_culling_distance

Efficient graphics rendering using ModernGL
View distance culling for label display optimization
Community detection algorithms for optimized visualization of large-scale graphs