VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson 0001, Furong Huang, Tom Goldstein. VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization. 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 6733-6746, 2021. [doi]

This author has not been identified. Look up 'Mucong Ding' in GoogleThis author has not been identified. Look up 'Kezhi Kong' in GoogleThis author has not been identified. Look up 'Jingling Li' in GoogleThis author has not been identified. Look up 'Chen Zhu' in GoogleThis author has not been identified. Look up 'John Dickerson 0001' in GoogleThis author has not been identified. Look up 'Furong Huang' in GoogleThis author has not been identified. Look up 'Tom Goldstein' in Google

runs on WebDSL