「グラフニューラルネットワーク（GNN）を学ぼう！」は、グラフニューラルネットワーク（Graph Neural Network、GNN）の入門 ...

【プロモーション動画】グラフニューラルネットワーク（GNN）を学ぼう！ 【PyTorch Geometric】 -Udemyコースを一部無料公開- 我妻幸長 2022年8月8日 15:30 ...

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. Whether you are a machine ...

Abstract: Existing geometric knowledge graph embedding methods employ various relational transformations, such as translation, rotation, and projection, to model different relation patterns, which ...

We investigate the estimation of the perimeter of a set by a graph cut of a random geometric graph. For Ω ⊆ D = (0, 1)d with d ≥ 2, we are given n random independent and identically distributed points ...

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 ...