Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power

Documenti analoghi

• Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
  di: Wang, Zhe, et al.
  Pubblicazione: (2024)
• Online Adversarial Knowledge Distillation for Graph Neural Networks
  di: Wang, Can, et al.
  Pubblicazione: (2021)
• On the Expressive Power of Subgraph Graph Neural Networks for Graphs with Bounded Cycles
  di: Chen, Ziang, et al.
  Pubblicazione: (2025)
• Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria
  di: Cao, Yang, et al.
  Pubblicazione: (2025)
• Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
  di: Chen, Ziang, et al.
  Pubblicazione: (2024)