摘要
Robotics&Machine Learning Daily News的一位新闻记者兼工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。根据中国人民共和国合肥的新闻报道，NewsRx编辑的研究表明，“机器学习方法在材料设计和发现领域得到了广泛的关注。图神经网络(GNN)在预测材料性能方面显示出了良好的前景，特别是在晶体材料方面，它自然为图形表示提供了便利。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Hefei, People’s Repub lic of China, by NewsRx editors, research stated, “Machine learning methods have gained extensive attention in the field of material design and discovery. Graph neural networks (GNN) have shown promise in predicting of material properties, particularly within the context of crystal materials, which naturally lend thems elves to graph representations.”
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