Associate Professor, University of Montreal
3 papers at NeurIPS 2025
We propose novel graph pooling methods for structure-aware pooling via edge collapses.
Guided manifold learning and semi-supervised visualization with natural out-of-sample extension based on random forest proximities and diffusion geometry-regularized autoencoder architecture.
