2026
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
AAAI 2026technical
As graph-structured data grow increasingly large, evaluating their robustness under adversarial attacks becomes computationally expensive and difficult to scale. To address this challenge, we propose to compress graphs into compact representations that preserve both topological structure and rob