55 citations · 218 across the 22 of their papers we have counts for
3 papers · 1 filter
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
Boris Knyazev, Carolyn Augusta, Graham W. Taylor
Reasoning about graphs evolving over time is a challenging concept in many domains, such as bioinformatics, physics, and social networks. We consider a common case in which edges c…
Image Classification with Hierarchical Multigraph Networks
Boris Knyazev, Xiao Lin, Mohamed R. Amer +1
Graph Convolutional Networks (GCNs) are a class of general models that can learn from graph structured data. Despite being general, GCNs are admittedly inferior to convolutional ne…
Understanding Attention and Generalization in Graph Neural Networks
Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
We aim to better understand attention over nodes in graph neural networks (GNNs) and identify factors influencing its effectiveness. We particularly focus on the ability of attenti…