影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
-/100
发表论文2 篇
平均评分
年均产出2.0 篇/年
Alexander Ryabov
研究方向
Graph coarsening · Graph neural networks · Machine learning for density functional theory · Graph pooling · Physical simulations · Machine learning in chemistry
Graph coarsening · Graph neural networks · Machine learning for density functional theory · Graph pooling · Physical simulations · Machine learning in chemistry