LouvainNE-Attributed-Graph-Embeddings

LouvainNE-Attributed is a scalable hybrid graph-learning framework that combines Louvain community detection, attribute-aware graph fusion, sparse neighborhood attention, and SVD residual embeddings to generate high-quality node representations without expensive E2E training. It achieves competitive accuracy with efficient CPU-friendly execution.