16 citations · 40 across the 12 of their papers we have counts for
3 papers · 1 filter
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
Ryan Aponte, Ryan A. Rossi, Shunan Guo +6
In this work, we introduce a hypergraph representation learning framework called Hypergraph Neural Networks (HNN) that jointly learns hyperedge embeddings along with a set of hyper…
Graph Learning with Localized Neighborhood Fairness
April Chen, Ryan Rossi, Nedim Lipka +6
Learning fair graph representations for downstream applications is becoming increasingly important, but existing work has mostly focused on improving fairness at the global level b…
Topological Representations of Local Explanations
Peter Xenopoulos, Gromit Chan, Harish Doraiswamy +3
Local explainability methods -- those which seek to generate an explanation for each prediction -- are becoming increasingly prevalent due to the need for practitioners to rational…