Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks

Documenti analoghi

• Active Learning for Graphs with Noisy Structures
  di: Chi, Hongliang, et al.
  Pubblicazione: (2024)
• Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
  di: Zhang, Liangliang, et al.
  Pubblicazione: (2025)
• Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark
  di: Qian, Xiaowei, et al.
  Pubblicazione: (2024)
• Towards Graph Foundation Models: A Transferability Perspective
  di: Wang, Yuxiang, et al.
  Pubblicazione: (2025)
• Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
  di: Liu, Kay, et al.
  Pubblicazione: (2023)