12 citations · 27 across the 5 of their papers we have counts for
4 papers · 1 filter
LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks
Chung-Hoo Poon, James Kwok, Calvin Chow +1
Anti-money laundering (AML) systems are important for protecting the global economy. However, conventional rule-based methods rely on domain knowledge, leading to suboptimal accura…
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
Hansi Yang, James T. Kwok
Distributed learning, which does not require gathering training data in a central location, has become increasingly important in the big-data era. In particular, random-walk-based…
Mixup Augmentation with Multiple Interpolations
Lifeng Shen, Jincheng Yu, Hansi Yang +1
Mixup and its variants form a popular class of data augmentation techniques.Using a random sample pair, it generates a new sample by linear interpolation of the inputs and labels.…
Positive-Unlabeled Node Classification with Structure-aware Graph Learning
Hansi Yang, Yongqi Zhang, Quanming Yao +1
Node classification on graphs is an important research problem with many applications. Real-world graph data sets may not be balanced and accurate as assumed by most existing works…