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Hugh Blayney

2 accepted papers

2026

gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity

ICLR 2026poster

Graph Neural Networks (GNNs) leverage the graph structure to transmit information between nodes, typically through the message-passing mechanism. While these models have found a wide variety of applications, they are known to suffer from over-squashing, where information from a large receptive field…

Cited by 0SourcecodeScholar
2024

Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs

CVPR 2024poster

Knowledge of lane topology is a core problem in autonomous driving. Aerial imagery can provide high resolution quickly updatable lane source data but detecting lanes from such data has so far been an expensive manual process or where automated solutions exist undrivable and requiring of downstream p…