This course is available on the MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is not available as an outside option. Some familiarity with graph theory and some ...
Abstract: Feature selection plays an important role in data analysis, yet traditional graph-based methods often produce suboptimal results. These methods typically follow a two-stage process: ...
Abstract: The low Earth orbit (LEO) satellite constellation has become a highly effective solution for non-terrestrial networks (NTN), offering reliable, uninterrupted, and high-speed global ...
When you reach the bottom, there's only one way, and that is up. I feel a bit of Yazz coming on. Jon Peddie Research (JPR) has published its Q3 2025 AIB market share report, showing a slight shift in ...
Graph neural networks (GNNs) with unsupervised learning can provide high-quality approximate solutions tosolve large-scale combinatorial optimization problems (COPs) with efficient time complexity, ...
torch==1.10.1 torch-geometric==2.0.4 numpy==1.24.2 pandas==1.5.3 networkx==3.0 ...
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