Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Qi Zhu, Natalia Ponomareva, Jiawei Han 0001, Bryan Perozzi. Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. 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 27965-27977, 2021. [doi]

This author has not been identified. Look up 'Qi Zhu' in GoogleThis author has not been identified. Look up 'Natalia Ponomareva' in GoogleThis author has not been identified. Look up 'Jiawei Han 0001' in GoogleThis author has not been identified. Look up 'Bryan Perozzi' in Google

runs on WebDSL