Yangyang Wu

Can Adversarial Network Attack be Defended?

2019 · arXiv (Cornell University)

Machine learning has been successfully applied to complex network analysis in various areas, and graph neural networks (GNNs) based methods outperform others. Recently, adversarial attack on networks has attracted special attention since carefully crafted adversarial …

DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Few-shot graph learning remains a fundamental yet challenging problem, especially under heterophilic graph settings where connected nodes are likely to belong to different classes. In such scenarios, two key challenges arise: (1) unreliable or noisy …