Are you familiar with the graph neural network? It's one of the many methods in which AI thinks and it's fascinating! So what is it? And what is its connection to drugs?_x000D_ _x000D_ Until recently, the average drug research and development took about twenty years. They'd need ten years for research and ten more years for clinical trials until market launch. Now, the research period has been incredibly compressed to just one to two years! How? This is, once again, because of the deep learning algorithm! It's super-human efficiency is being utilized now in designing new drugs._x000D_ _x000D_ So what are the basic mechanisms of graph neural networks? How do they design new chemicals? What's their thought process? How can we use this knowledge to better understand AI, deep learning, the world of medicine, and the future!_x000D_ _x000D_ 你熟悉图神经网络吗?这是人工智能思考的众多方法之一，它很迷人!那么它是什么呢?它和药物研发有什么关系?_x000D_ _x000D_ 直到最近，药物研究和开发平均需要20年左右的时间。他们需要10年的研究和10年以上的临床试验，直到市场投放。现在，研究周期被不可思议地压缩到只有一到两年!如何?这又要归功于深度学习算法!它的超人类效率现在正被用于设计新药。_x000D_ _x000D_ 那么图神经网络的基本机制是什么呢?他们如何设计新的化学用品?他们的思维过程是怎样的?我们如何利用这些知识来更好地理解人工智能、深度学习、医学世界和未来!