Expand description
Core types and configurations for graph embeddings
Structs§
- Context
Pair - Skip-gram training context pair
- Deep
Walk Config - Configuration for DeepWalk embedding algorithm
- Node2
VecConfig - Configuration for Node2Vec embedding algorithm
- Optimization
Config - Advanced optimization techniques for embeddings
- Optimizer
State - Advanced optimizer state for Adam/momentum
- Random
Walk - A random walk on a graph
- Training
Metrics - Enhanced training metrics and monitoring
Enums§
- Learning
Rate Schedule - Learning rate scheduling strategies
- Negative
Sampling Strategy - Adaptive negative sampling strategies