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
26.92/100
前 28.2%
全站排名 #18,171
发表论文4 篇
平均评分
年均产出2.0 篇/年
Justin M. Baker
研究方向
Equivariance · Graph Neural Networks · Geometric Deep Learning · Deep Learning · Numerical Integration
30
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
ICLR 2025Oral
三作23
Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs
NeurIPS 2025Poster
30
Learning Molecular Symmetry Breaking via Symmetry-adapted Neural Networks
ICLR 2025Rejected
一作