Concepedia

Yuezihan Jiang

YJ

4

Publications

89

Citations

4

H-Index

2021

Active since

Affiliations

Peking University(Current)

Yuezihan Jiang is an author at Peking University specializing in graph theory, deep learning, and engineering.

Top concepts

EngineeringData ScienceGraph TheoryDeep LearningComputer ScienceMachine LearningSparse ModelingGraph ProcessingNetwork AnalysisPattern Recognition

Publications per year

2021–2024

4

Publications

4

Model Degradation Hinders Deep Graph Neural Networks

Wentao Zhang, Zeang Sheng, Ziqi Yin et al. · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 2022 · 39 citations · Full text

Wentao Zhang, Yuezihan Jiang, Yang Li et al. · 2021 · 22 citations · Full text

Graph Sparsity, Graph Neural Networks, Engineering +14

Evaluating Deep Graph Neural Networks

Wentao Zhang, Zeang Sheng, Yuezihan Jiang et al. · arXiv (Cornell University) · 2021 · 16 citations · Full text

Experimental Results, Convolutional Neural Network, Deep Neural Networks +14

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation

Gaode Chen, Ruina Sun, Yuezihan Jiang et al. · 2024 · 12 citations · Full text

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