Tag: Graph Neural Networks

AI Computer Vision & Graphics Machine Learning & Data Science Research

Graph Kernel Attention Transformers: Toward Expressive and Scalable Graph Processing

A research team from Google Brain, Columbia University and University of Oxford proposes Graph Kernel Attention Transformers (GKATs), a new class of graph neural network that achieves greater expressive power than SOTA GNNs while reducing computation burdens.