2 papers
cs.LG2024
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space
Zhenyu Lin, Hongzheng Li, Yingxia Shao +3
Graph Contrastive Learning frameworks have demonstrated success in generating high-quality node representations. The existing research on efficient data augmentation methods and id…
cs.DB2023
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems
Jinqing Lian, Xinyi Zhang, Yingxia Shao +4
The past decade has seen rapid growth of distributed stream data processing systems. Under these systems, a stream application is realized as a Directed Acyclic Graph (DAG) of oper…