公开(公告)号：US11748065B2

公开(公告)日：2023-09-05

申请号：US17563881

申请日：2021-12-28

Applicant: GOOGLE LLC

Inventor： Georgios Evangelopoulos ,  Olivia Hatalsky ,  Bin Ni ,  Qianyu Zhang

IPC: G06F8/33 ,  G06N3/08 ,  G06F8/40

CPC classification number: G06F8/33 ,  G06F8/40 ,  G06N3/08

Abstract: Techniques are described herein for using artificial intelligence to “learn,” statistically, a target programming style that is imposed in and/or evidenced by a code base. Once the target programming style is learned, it can be used for various purposes. In various implementations, one or more generative adversarial networks (“GANs”), each including a generator machine learning model and a discriminator machine learning model, may be trained to facilitate learning and application of target programming style(s). In some implementations, the discriminator(s) and/or generator(s) may operate on graphical input, and may take the form of graph neural networks (“GNNs”), graph attention neural networks (“GANNs”), graph convolutional networks (“GCNs”), etc., although this is not required.