2 papers
cs.LG2025
How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals
Feng Liu, Hao Cang, Huanhuan Yuan +5
Spectral graph neural networks (GNNs) are highly effective in modeling graph signals, with their success in recommendation often attributed to low-pass filtering. However, recent s…
cs.IR2025
Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation
Huayang Xu, Huanhuan Yuan, Guanfeng Liu +3
Sequential recommendation has garnered significant attention for its ability to capture dynamic preferences by mining users' historical interaction data. Given that users' complex…