We also assessed alternative algorithms offered in Monocle 2 for dimensionality reduction and graph learning. DDRTree, SimplePPT, and SGL-tree, which implement RGE to learn principal trees ...

With industries increasingly adopting machine learning, it seems likely that knowledge graph technology will also evolve hand-in-hand. As well as being a useful format for feeding training data to ...

Also: Google Brain, Microsoft plumb the mysteries of networks with AI The paper, "Relational inductive biases, deep learning, and graph networks," posted on the arXiv pre-print service ...

As 2022 dawns, knowledge graphs bear the dubious distinction of being at the epicenter of AI and machine learning for two reasons. One is that, unassisted, they are one of the myriad manifestations of ...

As described on its GitHub repository page: PyG offers methods for deep learning on graphs and other irregular structures, also known as geometric deep learning. In addition, it consists of easy ...

The paper elaborates on a technique for using knowledge graphs with machine learning; specifically, a branch of machine learning called reinforcement learning. This is something that holds great ...