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• Learning on heterogeneous graphs using high-order relations
  2021 · 4 citations
• Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
  2023 · 2 citations
• Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
  2023 · 1 citations
• Distributed-Order Fractional Graph Operating Network
  2024 · 1 citations
• Reinforcement Learning Measurement Model
  2026
• LLM-generated personalized nudges for improving pro-environmental behavior: Field evidence from resource conservation
  2026
• Federated Item Response Models: A Gradient-driven Privacy-preserving Framework for Distributed Psychometric Estimation
  2025
• Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
  2025
• SGAT: Simplicial Graph Attention Network
  2022
• Distributional Signals for Node Classification in Graph Neural Networks
  2023
• FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction
  2023
• Graph Neural Networks with a Distribution of Parametrized Graphs
  2023
• Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
  2024