STAA uses wavelet-based node activity scores to bias a time-aware random walk, producing an augmented adjacency matrix that improves dynamic GNN performance.
Graph contrastive learning with adaptive augmentation,
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Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
STAA uses wavelet-based node activity scores to bias a time-aware random walk, producing an augmented adjacency matrix that improves dynamic GNN performance.