2 citations · 2 across the 6 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.LG2025
Graph Variate Neural Networks
Om Roy, Yashar Moshfeghi, Keith Smith
Modelling dynamically evolving spatio-temporal signals is a prominent challenge in the Graph Neural Network (GNN) literature. Notably, GNNs assume an existing underlying graph stru…
cs.LG2025
Covariance Density Neural Networks
Om Roy, Yashar Moshfeghi, Keith Smith
Graph neural networks have re-defined how we model and predict on network data but there lacks a consensus on choosing the correct underlying graph structure on which to model sign…
eess.SP2025
A Hodge-FAST Framework for High-Resolution Dynamic Functional Connectivity Analysis of Higher Order Interactions in EEG Signals
Om Roy, Yashar Moshfeghi, Jason Smith +3
We introduce a novel framework that integrates Hodge decomposition with Filtered Average Short-Term (FAST) functional connectivity to analyze dynamic functional connectivity (DFC)…