Zhu, Jiong

6 publications

AISTATS 2025 Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito, Jiong Zhu, Dexiong Chen, Danai Koutra, Jenna Wiens

NeurIPS 2024 On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra

LoG 2023 On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T Schaub, Danai Koutra

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

AAAI 2021 Graph Neural Networks with Heterophily Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra

NeurIPS 2020 Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra