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Junchi Yu

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Generative Explanations for Graph Neural Network: Methods and Evaluations

Nov 09, 2023
Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying

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Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models

Oct 09, 2023
Junchi Yu, Ran He, Rex Ying

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Rumor Detection with Diverse Counterfactual Evidence

Jul 18, 2023
Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiao-Yu Zhang

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Mind the Label Shift of Augmentation-based Graph OOD Generalization

Mar 27, 2023
Junchi Yu, Jian Liang, Ran He

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ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data

Nov 04, 2022
Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He

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Finding Diverse and Predictable Subgraphs for Graph Domain Generalization

Jun 19, 2022
Junchi Yu, Jian Liang, Ran He

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A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

May 23, 2022
Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, CHaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, GUangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao

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Improving Subgraph Recognition with Variational Graph Information Bottleneck

Dec 18, 2021
Junchi Yu, Jie Cao, Ran He

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Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows

Dec 18, 2021
Junchi Yu, Tingyang Xu, Ran He

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