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
71.85/100
前 2.3%
全站排名 #1,491
发表论文9 篇
平均评分
年均产出3.0 篇/年
Ron Levie
研究方向
geometric deep learning
22
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
NeurIPS 2025Poster
通讯7
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
ICML 2025Poster
二作34
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
ICLR 2025Poster
三作13
Covered Forest: Fine-grained generalization analysis of graph neural networks
ICML 2025Spotlight