Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning

Neural Information Processing Systems 

Social media platforms capture diverse attack sequence samples through both machine and manual screening processes. Investigating effective ways to leverage these adversarial samples to enhance robustness is imperative.

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