Huang, Edward W

3 publications

ICMLW 2023 Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu, Aishwarya Naresh Reganti, Edward W Huang, Charles Andrew Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra

TMLR 2023 You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian

ICLR 2022 Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng, Edward W Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian