24 citations · 65 across the 27 of their papers we have counts for
3 papers · 1 filter
Task-driven Heterophilic Graph Structure Learning
Ayushman Raghuvanshi, Gonzalo Mateos, Sundeep Prabhakar Chepuri
Graph neural networks (GNNs) often struggle to learn discriminative node representations for heterophilic graphs, where connected nodes tend to have dissimilar labels and feature s…
Covariance Scattering Transforms
Andrea Cavallo, Ayushman Raghuvanshi, Sundeep Prabhakar Chepuri +1
Machine learning and data processing techniques relying on covariance information are widespread as they identify meaningful patterns in unsupervised and unlabeled settings. As a p…
Conformal Inference for Time Series over Graphs
Sonakshi Dua, Gonzalo Mateos, Sundeep Prabhakar Chepuri
Trustworthy decision making in networked, dynamic environments calls for innovative uncertainty quantification substrates in predictive models for graph time series. Existing confo…