GraFlag Documentation
Distributed benchmarking framework for Graph Anomaly Detection.
User Guide
API Reference
Development
- GraFlag Method Integration Guide
- Overview
- Directory Structure
- Step 1: Create
.envConfiguration File - Step 2: Create Dockerfile
- Step 3: Create Training Wrapper (
train_graflag.py) - Step 4: Test Integration Locally
- Step 5: Deploy to GraFlag Cluster
- Advanced Features
- Troubleshooting
- Best Practices
- Quick Reference
- Complete Checklist
- Example: Complete Integration (Minimal, Pattern A)
- Resources
- AI Agent Instructions: GraFlag Method Integration
- Quick Reference
- Two Integration Patterns
- Integration Checklist
- File 1:
.envConfiguration - File 2:
Dockerfile - File 3:
train_graflag.py - File 4: Dataset Directory
- Result Types Reference
- Common Errors and Fixes
- Testing Commands
- Agent Prompt Template
- Example: Complete GADY Integration (Pattern A)
- Example: bond_cola Integration (Pattern B)
- Summary
- Graph Anomaly Detection Result Types
- GraFlag Architecture
- Demo Video