research
∙
06/29/2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters
High-order Graph Neural Networks (HO-GNNs) have been developed to infer ...
share
research
∙
03/03/2023
FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values
In this paper, we propose FairShap, a novel and interpretable pre-proces...
research
∙
07/19/2022
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters
Augmented Reality or AR filters on selfies have become very popular on s...
research
∙
06/15/2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound
Graph Neural Networks (GNNs) have been shown to achieve competitive resu...
research
∙
03/21/2017