This is a pytorch implementation of the Graph Attention Network (GAT) model presented by Veličković et. al (2017, https://arxiv.org/abs/1710.10903). The repo has ...

Abstract: In feature learning (FL), structural information shows advantages in retaining information and maintaining stability. Graph diffusion, a graph learning method that can focus on neighborhood ...

Code for the paper "Multi-Scale Protein Structure Modelling with Geometric Graph U-Nets", by Chang Liu*, Vivian Li*, Linus Leong, Vladimir Radenkovic, Pietro Liò, and Chaitanya K. Joshi (*Equal ...

Abstract: In this paper, we investigate the feasibility of using knowledge graphs to interpret actions and behaviors for robot manipulation control. Equipped with an uncalibrated visual servoing ...

Topological relations form a foundational pillar in the analysis and interpretation of spatial data. They characterise the connectivity, adjacency, and containment properties amongst spatial objects, ...