Can Graph Foundation Models Generalize Over Architecture?

Documenti analoghi

• On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
  di: Arroyo, Álvaro, et al.
  Pubblicazione: (2025)
• On Measuring Long-Range Interactions in Graph Neural Networks
  di: Bamberger, Jacob, et al.
  Pubblicazione: (2025)
• LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model
  di: Lin, Tianqianjin, et al.
  Pubblicazione: (2024)
• Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
  di: Wang, Zehong, et al.
  Pubblicazione: (2024)
• OpenGraph: Towards Open Graph Foundation Models
  di: Xia, Lianghao, et al.
  Pubblicazione: (2024)