general
critique
bearish
Existing self-supervised methods for dynamic graph learning incur substantial computational overhead when scaling to large-scale dynamic graphs due to complex edge-level reconstruction and tailored augmentation strategies
Neural and Evolutionary Computing28 Jul 2026