Module embeddings 

Graph Embeddings

This module provides graph embedding algorithms for converting graph structures into dense vector representations:

• Node2Vec: Random walk-based embeddings capturing network neighborhoods
• GraphSAGE: Inductive representation learning using neighborhood sampling
• DeepWalk: Simplified random walk embeddings
• Struct2Vec: Structure-aware graph embeddings

Use Cases

• Node classification and clustering
• Link prediction
• Graph visualization
• Similarity search in graph space
• Transfer learning across graphs

Structs

EmbeddingConfig

Graph embedding configuration

EmbeddingGraph

Graph for embedding generation

GraphSAGE

GraphSAGE embeddings generator

GraphSAGEConfig

GraphSAGE configuration

Node2Vec

Node2Vec embeddings generator

Enums

Aggregator

Aggregation functions for GraphSAGE