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Non-IID Transfer Learning on Graphs


Dec 15, 2022
Jun Wu, Jingrui He, Elizabeth Ainsworth

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* Accepted by AAAI-23 

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Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative


Oct 07, 2022
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang

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* NeurIPS 2022. Supplementary materials are available at https://weitianxin.github.io/files/neurips22_hypergcl_appendix.pdf 

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Improved Algorithms for Neural Active Learning


Oct 02, 2022
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He

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BOBA: Byzantine-Robust Federated Learning with Label Skewness


Aug 27, 2022
Wenxuan Bao, Jingrui He

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MentorGNN: Deriving Curriculum for Pre-Training GNNs


Aug 21, 2022
Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He

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* Accepted by CIKM 2022 

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A Unified Meta-Learning Framework for Dynamic Transfer Learning


Jul 05, 2022
Jun Wu, Jingrui He

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* Accepted by IJCAI-2022 

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Privacy-preserving Graph Analytics: Secure Generation and Federated Learning


Jun 30, 2022
Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski

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* Workshop on Privacy Enhancing Technologies for the Homeland Security Enterprise. June 21, 2022. Washington, DC 

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Fairness-aware Model-agnostic Positive and Unlabeled Learning


Jun 19, 2022
Ziwei Wu, Jingrui He

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Neural Bandit with Arm Group Graph


Jun 10, 2022
Yunzhe Qi, Yikun Ban, Jingrui He

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* Accepted to SIGKDD 2022 

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Comprehensive Fair Meta-learned Recommender System


Jun 09, 2022
Tianxin Wei, Jingrui He

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* Accepted to SIGKDD 2022 

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