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Energy-based Out-of-Distribution Detection for Graph Neural Networks


Feb 06, 2023
Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan

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* Accepted by International Conference on Learning Representations (ICLR 2023) 

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DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion


Jan 23, 2023
Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan

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* Accepted by International Conference on Learning Representations (ICLR 2023) 

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Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs


Dec 18, 2022
Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan

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Localized Contrastive Learning on Graphs


Dec 08, 2022
Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu

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Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks


Oct 24, 2022
Chenxiao Yang, Qitian Wu, Junchi Yan

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* in NeurIPS 2022 

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Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment


Oct 24, 2022
Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan

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* in NeurIPS 2022 

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Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach


Apr 25, 2022
Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen

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* in IJCAI 2022 

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Handling Distribution Shifts on Graphs: An Invariance Perspective


Feb 05, 2022
Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf

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* ICLR2022, 31 pages 

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Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach


Oct 09, 2021
Qitian Wu, Chenxiao Yang, Junchi Yan

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* Accepted to NeurIPS 2021 conference 

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From Canonical Correlation Analysis to Self-supervised Graph Neural Networks


Jun 23, 2021
Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu

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