5 papers
Propensity Score Propagation: A General Framework for Design-Based Inference with Unknown Propensity Scores
Siyu Heng, Yanxin Shen, Zijian Guo
Design-based inference, also known as randomization-based or finite-population inference, provides a principled framework for trustworthy statistical inference. It attributes rando…
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
Pengyun Wang, Junyu Luo, Yanxin Shen +5
Graph pooling has gained attention for its ability to obtain effective node and graph representations for various downstream tasks. Despite the recent surge in graph pooling approa…
Reconciling Overt Bias and Hidden Bias in Sensitivity Analysis for Matched Observational Studies
Siyu Heng, Yanxin Shen, Pengyun Wang
Matching is one of the most widely used causal inference designs in observational studies, but post-matching confounding bias remains a critical concern. This bias includes overt b…
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang, Yadi Cao, Chris Russell +5
Graph domain adaptation has recently enabled knowledge transfer across different graphs. However, without the semantic information on target graphs, the performance on target graph…
Re-evaluating the impact of reduced malaria prevalence on birthweight in sub-Saharan Africa: A pair-of-pairs study via two-stage bipartite and non-bipartite matching
Pengyun Wang, Ping Huang, Yifan Jin +5
According to the WHO, in 2021, about 32% of pregnant women in sub-Saharan Africa were infected with malaria during pregnancy. Malaria infection during pregnancy can cause various a…