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Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective.

Y. Yan, P. Zhang, Z. Fang, and Q. Long. WWW, page 4328-4339. ACM, (2024)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Zhiqiang Zhang

Hong Zhang

Other publications of authors with the same name

A Roadside Unit EIRP Measurement Method Based on Very Near Field Scanning.R. Ji, F. Zhou, L. Wang, S. An, X. Yuan, D. Mu, and P. Zhang. ICCT, page 1068-1071. IEEE, (2021)Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study.P. Zhou, M. Cao, Y. Huang, Q. Ye, P. Zhang, J. Liu, Y. Xie, Y. Hua, and J. Kim. CoRR, (2023)TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.P. Zhang, Y. Yan, X. Zhang, C. Li, S. Wang, F. Huang, and S. Kim. SIGIR, page 1285-1295. ACM, (2024)GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.P. Zhang, Y. Yan, X. Zhang, L. Kang, C. Li, F. Huang, S. Wang, and S. Kim. SIGIR, page 1774-1784. ACM, (2024)Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.P. Zhang, J. Guo, C. Li, Y. Xie, J. Kim, Y. Zhang, X. Xie, H. Wang, and S. Kim. WSDM, page 168-176. ACM, (2023)Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models.T. Zhang, H. Liu, P. Zhang, Y. Cheng, and H. Wang. CoRR, (2023)Carrier Waveform Predistortion Technology for Nonlinear Devices.F. Zhou, R. Ji, J. Sun, X. Yuan, P. Zhang, and D. Mu. ICCT, page 1025-1028. IEEE, (2020)AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.J. Jiang, P. Zhang, Y. Luo, C. Li, J. Kim, K. Zhang, S. Wang, X. Xie, and S. Kim. CIKM, page 976-986. ACM, (2023)Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.J. Guo, P. Zhang, C. Li, X. Xie, Y. Zhang, and S. Kim. CIKM, page 624-634. ACM, (2022)Continual Learning on Dynamic Graphs via Parameter Isolation.P. Zhang, Y. Yan, C. Li, S. Wang, X. Xie, G. Song, and S. Kim. SIGIR, page 601-611. ACM, (2023)

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Disambiguation of "Zhang, Peiyan"

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Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Zhiqiang Zhang

Hong Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Peiyan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Zhiqiang Zhang

Hong Zhang

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

Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective.