Zeng, Hanqing, Zhou, Hongkuan, Srivastava, Ajitesh, Kannan, Rajgopal, and Prasanna, Viktor. Accurate, efficient and scalable training of Graph Neural Networks. Retrieved from https://par.nsf.gov/biblio/10216474. Journal of Parallel and Distributed Computing 147.C Web. doi:10.1016/j.jpdc.2020.08.011.

Zeng, Hanqing, Zhou, Hongkuan, Srivastava, Ajitesh, Kannan, Rajgopal, & Prasanna, Viktor. Accurate, efficient and scalable training of Graph Neural Networks. Journal of Parallel and Distributed Computing, 147 (C). Retrieved from https://par.nsf.gov/biblio/10216474. https://doi.org/10.1016/j.jpdc.2020.08.011

Zeng, Hanqing, Zhou, Hongkuan, Srivastava, Ajitesh, Kannan, Rajgopal, and Prasanna, Viktor. "Accurate, efficient and scalable training of Graph Neural Networks". Journal of Parallel and Distributed Computing 147 (C). Country unknown/Code not available. https://doi.org/10.1016/j.jpdc.2020.08.011. https://par.nsf.gov/biblio/10216474.

@article{osti_10216474,
place = {Country unknown/Code not available}, title = {Accurate, efficient and scalable training of Graph Neural Networks}, url = {https://par.nsf.gov/biblio/10216474}, DOI = {10.1016/j.jpdc.2020.08.011}, abstractNote = {}, journal = {Journal of Parallel and Distributed Computing}, volume = {147}, number = {C}, author = {Zeng, Hanqing and Zhou, Hongkuan and Srivastava, Ajitesh and Kannan, Rajgopal and Prasanna, Viktor}, editor = {null} }