Baker, Justin M, Wang, Qingsong, Berzins, Martin, Strohmer, Thomas, and Wang, Bao. Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs. Retrieved from https://par.nsf.gov/biblio/10555608.

Baker, Justin M, Wang, Qingsong, Berzins, Martin, Strohmer, Thomas, & Wang, Bao. Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs. Retrieved from https://par.nsf.gov/biblio/10555608.

Baker, Justin M, Wang, Qingsong, Berzins, Martin, Strohmer, Thomas, and Wang, Bao. "Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs". Country unknown/Code not available: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR. https://par.nsf.gov/biblio/10555608.

@article{osti_10555608,
place = {Country unknown/Code not available}, title = {Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs}, url = {https://par.nsf.gov/biblio/10555608}, abstractNote = {}, journal = {}, volume = {238}, publisher = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR}, author = {Baker, Justin M and Wang, Qingsong and Berzins, Martin and Strohmer, Thomas and Wang, Bao}, }