Projects

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Weakly Supervised Graph Neural Networks

Time frame
2021-Present
Investigator
Jingrui He
Total funding to date
$149,921.00
Funding agency
National Science Foundation

Graph Neural Networks have proven to be a powerful tool for harnessing graph data, which is widely used for representing rich relational information in multiple areas. However, the performance of graph neural networks largely depends on the amount of labeled data, which is subject to an expensive and time-consuming annotation process. This creates data without labels, or a label scarcity.…

graph on a computer screen

Young Researchers: Collaborating With Youth and Libraries for Community Based Scholarship

Time frame
2018-Present
Investigator
Rachel M. Magee
Total funding to date
$484,570.00
Funding agency
Institute of Museum and Library Services

Understanding the value and process of research is a crucial skill for youth, who navigate an information landscape that includes a significant amount of misinformation and disinformation. Literacy approaches highlight the ability to create and share content as key competencies of literacy, but youth have few opportunities to engage in the scholarly research process to develop these skills in…

young researchers