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
54.98/100
前 6.5%
全站排名 #4,161
发表论文11 篇
平均评分
年均产出3.7 篇/年
Daeho Um
研究方向
missing features in graphs · deep learning · GNNs · semi-supervised learning
5
Read Before Imputing: Injecting PubMed-Informed Semantic Priors for Multi-Tissue Gene Expression Imputation
ICLR 2026Withdrawn
二作5
Why Sacrifice Majority Nodes?: Improving Imbalanced Node Classification via Class-Balanced Graph Generation
ICLR 2026Withdrawn
二作6
Harnessing Patient Connectivity for Medical Classification under Missing Values
ICLR 2026Withdrawn
一作36
Spreading Out-of-Distribution Detection on Graphs
ICLR 2025Poster
一作41
Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
ICLR 2025Poster
一作17
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
ICML 2025Poster
一作13
PRIME: Deep Imbalanced Regression with Proxies
ICML 2025Poster
三作6
GITD: Enhancing Medical Classification on Tabular Data with Missing Values via Graph Modeling
ICLR 2025Withdrawn
一作5
Low Variance: A Bottleneck in Diffusion-Based Graph Imputation
ICLR 2025Withdrawn
一作