//! Graph embedding algorithms for GraphRAG.
//!
//! This module provides standalone graph embedding implementations:
//!
//! - [`node2vec`]: Biased random walk-based Node2Vec embeddings with full
//! second-order Markov transition probabilities, alias-sampling for O(1)
//! per-step random walks, and a simplified skip-gram training loop.
pub use ;