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Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs.

Y. Chen, Y. Zhang, Y. Bian, H. Yang, K. Ma, B. Xie, T. Liu, B. Han, and J. Cheng. NeurIPS, (2022)

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Jian Bian

Shan Bian

Xin Bian

Shun Bian

Ning Bian

Other publications of authors with the same name

Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery?Z. Zhang, Y. Bian, A. Xie, P. Han, L. Huang, and S. Zhou. CoRR, (2022)Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes.Y. Chen, B. Xie, K. Zhou, B. Han, Y. Bian, and J. Cheng. CoRR, (2023)SyNDock: N Rigid Protein Docking via Learnable Group Synchronization.Y. Ji, Y. Bian, G. Fu, P. Zhao, and P. Luo. CoRR, (2023)Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations.Y. Bian, Y. Rong, T. Xu, J. Wu, A. Krause, and J. Huang. CoRR, (2021)Bundle CDN: A Highly Parallelized Approach for Large-Scale ℓ1-Regularized Logistic Regression.Y. Bian, X. Li, M. Cao, and Y. Liu. ECML/PKDD (3), volume 8190 of Lecture Notes in Computer Science, page 81-95. Springer, (2013)Curriculum Graph Poisoning.H. Liu, P. Zhao, T. Xu, Y. Bian, J. Huang, Y. Zhu, and Y. Mu. WWW, page 2011-2021. ACM, (2023)Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs.Y. Chen, Y. Zhang, Y. Bian, H. Yang, K. Ma, B. Xie, T. Liu, B. Han, and J. Cheng. NeurIPS, (2022)Rethinking and Simplifying Bootstrapped Graph Latents.W. Sun, J. Li, L. Chen, B. Wu, Y. Bian, and Z. Zheng. WSDM, page 665-673. ACM, (2024)Graph Information Bottleneck for Subgraph Recognition.J. Yu, T. Xu, Y. Rong, Y. Bian, J. Huang, and R. He. ICLR, OpenReview.net, (2021)BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion.F. Wang, D. Zhou, L. Liu, H. Ye, Y. Bian, D. Zhan, and P. Zhao. ICLR, OpenReview.net, (2023)

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Disambiguation of "Bian, Yatao"

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Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs.

Please choose a person to relate this publication to

Jian Bian

Shan Bian

Xin Bian

Shun Bian

Ning Bian

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bian, Yatao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs.

Please choose a person to relate this publication to

Jian Bian

Shan Bian

Xin Bian

Shun Bian

Ning Bian

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs.