Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective

Documenti analoghi

• Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
  di: Guo, Kai, et al.
  Pubblicazione: (2024)
• Subgraph Generation for Generalizing on Out-of-Distribution Links
  di: Revolinsky, Jay, et al.
  Pubblicazione: (2025)
• Concept Matching with Agent for Out-of-Distribution Detection
  di: Lee, Yuxiao, et al.
  Pubblicazione: (2024)
• Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
  di: Panda, Deepak Kumar, et al.
  Pubblicazione: (2025)
• Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
  di: Wang, Bohan, et al.
  Pubblicazione: (2024)