Graph Neural Networks (GNNs)

Researchers propose ProGAP, a transferable graph purification scheme that uses vulnerability-aware graph prompt learning to bridge adversarial defense knowledge across domains, improving robustness of…

Researchers from an unnamed institution propose Temporal Correlation Volatility (TCV), a metric to quantify how pairwise correlations in multivariate time series evolve, and show that popular models i…