AI Glossary
The complete dictionary of Artificial Intelligence
Graph Data Augmentation
Set of techniques to artificially create variants of training graphs while preserving essential semantic and structural properties.
Synthetic Graph Generation
Process of algorithmically creating artificial graphs that mimic the statistical and structural properties of real graphs for model training.
Graph Structure Learning
Automatic learning of the optimal structure of a graph (node adjacency) from data rather than using a predefined structure.
Graph Rewiring
Dynamic modification of graph connections during training to improve information propagation and model performance.
Graph Neural Architecture Search
Automation of designing optimal GNN architectures for specific tasks using neural architecture search algorithms.
Temporal Graph Generation
Generation of dynamic graphs where nodes and edges evolve over time, capturing the temporal dependencies of relational systems.
Heterogeneous Graph Generation
Synthetic creation of graphs containing multiple types of nodes and edges with complex relationships between different entities.