Simone Piaggesi

DINE: Dimensional Interpretability of Node Embeddings

2023 · arXiv (Cornell University)

Graphs are ubiquitous due to their flexibility in representing social and technological systems as networks of interacting elements. Graph representation learning methods, such as node embeddings, are powerful approaches to map nodes into a latent …