On Provable Benefits of Depth in Training Graph Convolutional Networks

Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi. On Provable Benefits of Depth in Training Graph Convolutional Networks. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 9936-9949, 2021. [doi]

Abstract

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