Machine Learning: Science and Technology期刊亮点文章
我们很高兴推出Machine Learning: Science and Technology (MLST)期刊亮点文章合集,这些文章体现了期刊的高质量、创新性,并呈现了一些受关注的研究工作。 感谢我们所有的作者和审稿人对MLST期刊的大力支持,希望大家能够喜欢和阅读本期的文章合集。 文章合集 Graph neural networks in particle physics Jonathan Shlomi, Peter Battaglia and Jean-Roch Vlimant Abstract: Particle physics is a branch of science aiming at discovering the fundamental laws of matter and forces. Graph neural networks are trainable functions which operate on graphs—sets of elements and their pairwise relations—and...