DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs

Documenti analoghi

• Generative Conditional Missing Imputation Networks
  di: Sun, George, et al.
  Pubblicazione: (2026)
• Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks
  di: Zhang, Liang, et al.
  Pubblicazione: (2025)
• FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
  di: Zhang, Longling, et al.
  Pubblicazione: (2021)
• ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation
  di: Shao, Wei, et al.
  Pubblicazione: (2024)
• Pavement Missing Condition Data Imputation through Collective Learning-Based Graph Neural Networks
  di: Yu, Ke, et al.
  Pubblicazione: (2026)