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Qitian Wu

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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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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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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