DeZoort, Gage, and Hanin, Boris. Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations. Retrieved from https://par.nsf.gov/biblio/10572091. SIAM Journal on Mathematics of Data Science 7.1 Web. doi:10.1137/23M1600621.

DeZoort, Gage, & Hanin, Boris. Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations. SIAM Journal on Mathematics of Data Science, 7 (1). Retrieved from https://par.nsf.gov/biblio/10572091. https://doi.org/10.1137/23M1600621

DeZoort, Gage, and Hanin, Boris. "Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations". SIAM Journal on Mathematics of Data Science 7 (1). Country unknown/Code not available: SIAM Journal on Mathematics of Data Science. https://doi.org/10.1137/23M1600621. https://par.nsf.gov/biblio/10572091.

@article{osti_10572091,
place = {Country unknown/Code not available}, title = {Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations}, url = {https://par.nsf.gov/biblio/10572091}, DOI = {10.1137/23M1600621}, abstractNote = {}, journal = {SIAM Journal on Mathematics of Data Science}, volume = {7}, number = {1}, publisher = {SIAM Journal on Mathematics of Data Science}, author = {DeZoort, Gage and Hanin, Boris}, }