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ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.

K. Huang, H. Jiang, M. Wang, G. Xiao, D. Wipf, X. Song, Q. Gan, Z. Huang, J. Zhai, and Z. Zhang. CoRR, (2023)

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Lishan Gan

Tian Gan

Gan Lu

Lei Gan

Meng Gan

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ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.K. Huang, H. Jiang, M. Wang, G. Xiao, D. Wipf, X. Song, Q. Gan, Z. Huang, J. Zhai, and Z. Zhang. CoRR, (2023)TraverseNet: Unifying Space and Time in Message Passing.Z. Wu, D. Zheng, S. Pan, Q. Gan, G. Long, and G. Karypis. CoRR, (2021)Fully 2D Convolutional Network for Continuous Sign Language Recognition.Q. Zhu, J. Li, F. Yuan, and Q. Gan. FSDM, volume 378 of Frontiers in Artificial Intelligence and Applications, page 244-254. IOS Press, (2023)Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network.Q. Gan, S. Nie, S. Wang, and Q. Ji. AAAI, page 4039-4045. AAAI Press, (2017)Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks.H. Ahn, Y. Yang, Q. Gan, T. Moon, and D. Wipf. NeurIPS, (2022)Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.T. Zhao, C. Yang, Y. Li, Q. Gan, Z. Wang, F. Liang, H. Zhao, Y. Shao, X. Wang, and C. Shi. SIGIR, page 2776-2789. ACM, (2022)Internet of Samples.S. Richard, D. Vieglais, H. Cui, N. Davies, J. Deck, Q. Gan, E. Kansa, S. Kansa, J. Kunze, D. Mandel and 7 other author(s). ASIST, volume 58 of Proc. Assoc. Inf. Sci. Technol., page 813-815. Wiley, (2021)DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs.D. Zheng, C. Ma, M. Wang, J. Zhou, Q. Su, X. Song, Q. Gan, Z. Zhang, and G. Karypis. IA3@SC, page 36-44. IEEE, (2020)Graph Neural Networks Inspired by Classical Iterative Algorithms.Y. Yang, T. Liu, Y. Wang, J. Zhou, Q. Gan, Z. Wei, Z. Zhang, Z. Huang, and D. Wipf. ICML, volume 139 of Proceedings of Machine Learning Research, page 11773-11783. PMLR, (2021)GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.Y. He, Q. Gan, D. Wipf, G. Reinert, J. Yan, and M. Cucuringu. ICML, volume 162 of Proceedings of Machine Learning Research, page 8581-8612. PMLR, (2022)

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Disambiguation of "Gan, Quan"

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ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.

Please choose a person to relate this publication to

Lishan Gan

Tian Gan

Gan Lu

Lei Gan

Meng Gan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gan, Quan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.

Please choose a person to relate this publication to

Lishan Gan

Tian Gan

Gan Lu

Lei Gan

Meng Gan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.