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Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.

J. Chen, J. Mueller, V. Ioannidis, S. Adeshina, Y. Wang, T. Goldstein, and D. Wipf. ICLR, OpenReview.net, (2022)

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Andreas Wipf

Hermann Wipf

Heiko Wipf

Andreas Wipf

Helmut Wipf

Other publications of authors with the same name

A nanoscopic insight into electrocatalytic origins of the mercury monolayer carbon fiber electrode depicted by fast cyclic voltammetryG. Munteanu, D. Wipf, E. Dempsey, T. McCormac, and S. Munteanu. Journal of Electroanalytical Chemistry, (2014)How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space.C. Yang, Q. Wu, D. Wipf, R. Sun, and J. Yan. CoRR, (2023)Further Analysis of Outlier Detection with Deep Generative Models.Z. Wang, B. Dai, D. Wipf, and J. Zhu. ICBINB@NeurIPS, volume 137 of Proceedings of Machine Learning Research, page 11-20. PMLR, (2020)On the Initialization of Graph Neural Networks.J. Li, Y. Song, X. Song, and D. Wipf. ICML, volume 202 of Proceedings of Machine Learning Research, page 19911-19931. PMLR, (2023)New Desiderata for Direct Preference Optimization.X. Hu, T. He, and D. Wipf. CoRR, (2024)Sparse Multi-Path Corrections in Fringe Projection Profilometry.Y. Zhang, D. Lau, and D. Wipf. CVPR, page 13344-13353. Computer Vision Foundation / IEEE, (2021)Robust Angular Synchronization via Directed Graph Neural Networks.Y. He, G. Reinert, D. Wipf, and M. Cucuringu. CoRR, (2023)Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.Q. Guo, Z. Jin, Z. Wang, X. Qiu, W. Zhang, J. Zhu, Z. Zhang, and D. Wipf. AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1828-1836. PMLR, (2021)Graph Machine Learning through the Lens of Bilevel Optimization.A. Zheng, T. He, Y. Qiu, M. Wang, and D. Wipf. AISTATS, volume 238 of Proceedings of Machine Learning Research, page 982-990. PMLR, (2024)4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.M. Wang, Q. Gan, D. Wipf, Z. Cai, N. Li, J. Tang, Y. Zhang, Z. Zhang, Z. Mao, Y. Song and 10 other author(s). CoRR, (2024)

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Disambiguation of "Wipf, David"

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URL
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DIN 1505
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Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.

Please choose a person to relate this publication to

Andreas Wipf

Hermann Wipf

Heiko Wipf

Andreas Wipf

Helmut Wipf

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wipf, David"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.

Please choose a person to relate this publication to

Andreas Wipf

Hermann Wipf

Heiko Wipf

Andreas Wipf

Helmut Wipf

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

Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.