SemiMat: A Semi-Supervised Toolkit for Data-Scarce Materials Property Prediction

Wentao Li, Yizhe Chen, Xiaonan Wang

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Materials Informatics, Semi Supervised Learning, Materials Property Prediction, Crystal Graphs, Ranking, GNN

TL;DR: A Unified Semi-Supervised Toolkit for Data-Scarce Materials Property Prediction

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 396