no code implementations • 1 May 2023 • Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Yonghui Fan, Dawei Zhou
Transferring knowledge across graphs plays a pivotal role in many high-stake domains, ranging from transportation networks to e-commerce networks, from neuroscience to finance.
2 code implementations • 8 Apr 2023 • Yuzhen Mao, Zhun Deng, Huaxiu Yao, Ting Ye, Kenji Kawaguchi, James Zou
As machine learning has been deployed ubiquitously across applications in modern data science, algorithmic fairness has become a great concern.
1 code implementation • 9 Dec 2022 • Yuzhen Mao, Jianhui Sun, Dawei Zhou
Given a resource-rich source graph and a resource-scarce target graph, how can we effectively transfer knowledge across graphs and ensure a good generalization performance?