2 papers
cs.SI2026
Towards Reliable Social A/B Testing: Spillover-Contained Clustering with Robust Post-Experiment Analysis
Xu Min, Zhaoxu Yang, Kaixuan Tan +8
A/B testing is the foundation of decision-making in online platforms, yet social products often suffer from network interference: user interactions cause treatment effects to spill…
cs.LG2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs
Xin Liu, Xunbin Xiong, Mingyu Yan +4
Large-scale graphs are ubiquitous in real-world scenarios and can be trained by Graph Neural Networks (GNNs) to generate representation for downstream tasks. Given the abundant inf…