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6 篇
平均评分
年均产出3.0 篇/年
AI 学术分析
Vladimir Vanovskiy
研究方向
graph neural networks · physics-informed machine learning · graph coarsening · deep recurrent reinforcement learning · bayesian methods · q-learning
graph neural networks · physics-informed machine learning · graph coarsening · deep recurrent reinforcement learning · bayesian methods · q-learning