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Bingbing Xu

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Graph Domain Adaptation: Challenges, Progress and Prospects

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Feb 01, 2024
Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng

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TEA: Test-time Energy Adaptation

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Nov 24, 2023
Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

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Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer

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Aug 18, 2023
Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen

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IDEA: Invariant Causal Defense for Graph Adversarial Robustness

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May 25, 2023
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng

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PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

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May 25, 2023
Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

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Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network

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Feb 02, 2023
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen, Xueqi Cheng

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Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks

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Jan 31, 2023
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng

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Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective

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Nov 20, 2022
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng

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Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network

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Nov 16, 2022
Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen

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DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning

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Oct 19, 2022
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng

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