[CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
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Updated
Aug 11, 2024 - Python
[CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
[EMNLP 2025] A Free Lunch from Large Language Models for Selective Initialization of Recommendation
Pytorch implementation of LISA (Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. WWW 2021)
[RecSys 2025] SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation
The central focus is a decomposed ranking model that combines preference disentanglement with resource-aware evaluation.
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