Our papers “‘Adversarial Signed Graph Learning with Differential Privacy” and “Communication-efficient Federated Graph Classification via Generative Diffusion Modeling” are accepted by SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. Congratulations to Haobin and Xiuling!
Two Papers Accepted by KDD 2026
