Integrating Temporal and Structural Context in Graph Transformers for Relational Deep Learning

Documenti analoghi

• RELATE: A Schema-Agnostic Perceiver Encoder for Multimodal Relational Graphs
  di: Meyer, Joe, et al.
  Pubblicazione: (2025)
• GraphFM: A generalist graph transformer that learns transferable representations across diverse domains
  di: Lachi, Divyansha, et al.
  Pubblicazione: (2024)
• Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
  di: Arora, Vinam, et al.
  Pubblicazione: (2025)
• Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
  di: Ranjan, Rishabh, et al.
  Pubblicazione: (2025)
• Boosting Relational Deep Learning with Pretrained Tabular Models
  di: Lachi, Veronica, et al.
  Pubblicazione: (2025)