Expand description
Graph embedding transformers Graph embedding transformers for graph-based feature extraction
This module provides utilities for transforming graph structures into numerical feature representations suitable for machine learning.
Structs§
- Deep
Walk - DeepWalk: Random walk-based graph embedding
- Graph
Autoencoder - Graph autoencoder for unsupervised graph embedding
- Node2
Vec - Node2Vec: Biased random walk-based graph embedding
- Spectral
Embedding - Node embeddings using spectral decomposition of graph Laplacian
Enums§
- Activation
Type - Activation function types
- Laplacian
Type - Types of graph Laplacian
Functions§
- adjacency_
to_ edge_ list - Convert adjacency matrix to edge list
- edge_
list_ to_ adjacency - Convert edge list to adjacency matrix