Recommendation systems have become crucial tools for mitigating information overload and enhancing user experience. Among them, LightGCN has achieved remarkable results in both efficiency and performance by simplifying graph convolution operations. However, in scenarios with sparse training data, LightGCN tends to prod...
This work introduces a temporal-graph-learning (TGL) controller that learns these predictions jointly and supplies both outputs in one forward pass, and shows that a small graph model can handle both decisions and improve the language agents it controls.
Xiaoze Liu, Ruowang Zhang, Amir H. Abdi et al.· 2 citations
Through this design, CDNE incorporates local node proximity and mesoscopic community semantics without relying on an open-ended iterative procedure, and achieves strong performance in link prediction, cross-layer network reconstruction, and community-quality evaluation.
Zhikai Chen, He-Gui Zhang, Yang Wu et al.· Scientific Reports· 0 citations
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