Training a Label-Noise-Resistant GNN with Reduced Complexity

Documenti analoghi

• Beyond Leakage and Complexity: Towards Realistic and Efficient Information Cascade Prediction
  di: Peng, Jie, et al.
  Pubblicazione: (2025)
• NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
  di: Wang, Zhonghao, et al.
  Pubblicazione: (2024)
• GNNShap: Scalable and Accurate GNN Explanation using Shapley Values
  di: Akkas, Selahattin, et al.
  Pubblicazione: (2024)
• Improving the interpretability of GNN predictions through conformal-based graph sparsification
  di: Sanchez-Martin, Pablo, et al.
  Pubblicazione: (2024)
• GnnXemplar: Exemplars to Explanations -- Natural Language Rules for Global GNN Interpretability
  di: Armgaan, Burouj, et al.
  Pubblicazione: (2025)