research
∙
04/21/2023
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs
Graph Neural Networks (GNNs) are well-suited for learning on homophilous...
share
research
∙
12/26/2022
2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance
Graph Neural Networks (GNNs) achieve state-of-the-art performance on gra...
research
∙
08/03/2017
What Will I Do Next? The Intention from Motion Experiment
In computer vision, video-based approaches have been widely explored for...
research
∙
05/31/2016
