Do We Really Need Graph Convolution During Training? Light Post-Training
Graph-ODE for Efficient Recommendation

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Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation

26 July 2024

Henry Peng Zou

Philip S. Yu

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Papers citing "Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation"

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Title
Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled PropagationProceedings of the VLDB Endowment (PVLDB), 2025 Yanping Zheng Zhewei Wei Frank de Hoog Xu Chen Hongteng Xu Yuhang Ye Jiadeng Huang 129 0 0 11 Oct 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation Weizhi Zhang Liangwei Yang Wooseong Yang Henry Peng Zou Yuqing Liu Ke Xu Sourav Medya Philip S. Yu 260 5 0 03 Mar 2025
Graph Neural Controlled Differential Equations For Collaborative FilteringThe Web Conference (WWW), 2025 Ke Xu Weizhi Zhang Zihe Song Yuanjie Zhu Philip S. Yu 337 4 0 23 Jan 2025