TFWaveFormer: Temporal-Frequency Collaborative Multi-level Wavelet Transformer for Dynamic Link Prediction

Researchers propose TFWaveFormer, a novel Transformer architecture that combines temporal-frequency analysis with multi-resolution wavelet decomposition for dynamic link prediction. The framework achieves state-of-the-art performance on benchmark datasets by better capturing complex multi-scale temporal dynamics in applications like social networks and financial modeling.