André Panisson

Evaluating Link Prediction Explanations for Graph Neural Networks

2023 · arXiv (Cornell University)

Graph Machine Learning (GML) has numerous applications, such as node/graph classification and link prediction, in real-world domains. Providing human-understandable explanations for GML models is a challenging yet fundamental task to foster their adoption, but validating …

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 …