Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning

no code implementations • 17 Aug 2023 • Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong

Graph Active Learning (GAL), which aims to find the most informative nodes in graphs for annotation to maximize the Graph Neural Networks (GNNs) performance, has attracted many research efforts but remains non-trivial challenges.

Active Learning Node Classification

Label-Efficient Interactive Time-Series Anomaly Detection

no code implementations • 30 Dec 2022 • Hong Guo, Yujing Wang, Jieyu Zhang, Zhengjie Lin, Yunhai Tong, Lei Yang, Luoxing Xiong, Congrui Huang

Time-series anomaly detection is an important task and has been widely applied in the industry.

Active Learning Time Series +2