Module graph_tensor 

Graph-Tensor Integration: Specialized implementations for seamless graph-tensor conversion

This module provides:

• TensorGraph: Graph with native tensor node/edge features
• GraphToTensor: Convert traditional graphs to tensor representations
• TensorToGraph: Convert tensors back to graph structures
• Adjacency matrix extraction and reconstruction
• Feature matrix extraction for GNN workflows

Structs

GraphAdjacencyMatrix

Adjacency matrix representation for graph neural networks

GraphBatch

Batch multiple graphs into a single tensor representation

GraphFeatureExtractor

Feature extractor for converting graphs to tensor representations

GraphReconstructor

Reconstruct graph from tensor representations

Traits

GraphTensorExt

Extension trait for Graph to add tensor conversion methods