@inproceedings{NEURIPS2021_3569df15, author = {Ding, Mucong and Kong, Kezhi and Li, Jingling and Zhu, Chen and Dickerson, John and Huang, Furong and Goldstein, Tom}, booktitle = {Advances in Neural Information Processing Systems}, editor = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan}, pages = {6733--6746}, publisher = {Curran Associates, Inc.}, title = {VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization}, url = {https://proceedings.neurips.cc/paper_files/paper/2021/file/3569df159ec477451530c4455b2a9e86-Paper.pdf}, volume = {34}, year = {2021} }