Li, Gaotang, Duda, Marlena, Zhang, Xiang, Koutra, Danai, and Yan, Yujun. Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. Retrieved from https://par.nsf.gov/biblio/10435537. ACM SIGKDD Conference on Knowledge Discovery and Data Mining .
Li, Gaotang, Duda, Marlena, Zhang, Xiang, Koutra, Danai, and Yan, Yujun.
"Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks". ACM SIGKDD Conference on Knowledge Discovery and Data Mining (). Country unknown/Code not available. https://par.nsf.gov/biblio/10435537.
@article{osti_10435537,
place = {Country unknown/Code not available},
title = {Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks},
url = {https://par.nsf.gov/biblio/10435537},
abstractNote = {},
journal = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
author = {Li, Gaotang and Duda, Marlena and Zhang, Xiang and Koutra, Danai and Yan, Yujun},
}
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