Method
About Dynamic Graph Transformer
The Dynamic Graph Transformer (DGT) serves as a fundamental element of "The 11". This model is specifically designed to process evolving graph structures by using multiple token types to capture diverse node and edge features.
About Generative Replay Learning
To better understand the algorithm, "The 11" integrates Generative Replay Learning (GRL), which is crucial for maintaining and updating knowledge through efficient historical simulation and pattern matching.
About Hierarchical Structural Dependencies
To effectively model hierarchical structural dependencies, the model integrates context-aware aggregation techniques combined with meta-path-based attention to process heterogeneous graphs efficiently.
Research References
Dynamic Graph Analysis
IEEE Conference on Neural Networks, 2025
Generative Learning Methods
Neural Computing Journal, 2025