2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks
ECCV 2024oral
"Many computer vision and machine learning problems are modelled as learning tasks on graphs, where graph neural networks (GNNs) have emerged as a dominant tool for learning representations of graph-structured data. A key feature of GNNs is their use of graph structures as input, enabling them to ex…