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• Sparse Graph Learning from Sparse Data via Fiedler Number Maximization
  2026
• Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling
  2025
• Lightweight and Interpretable Transformer via Mixed Graph Algorithm Unrolling for Traffic Forecast
  2025
• Robust Semi-Supervised Graph Classifier Learning with Negative Edge Weights
  2016
• Feature Graph Learning for 3D Point Cloud Denoising
  2019
• Robust Deep Graph Based Learning for Binary Classification
  2019
• Graph Metric Learning via Gershgorin Disc Alignment
  2020
• Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment
  2020
• Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative GLASSO and Projection
  2020
• Projection-free Graph-based Classifier Learning using Gershgorin Disc Perfect Alignment
  2021
• Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding
  2021
• Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks
  2022
• Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction
  2022
• Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment
  2022
• Modeling Viral Information Spreading via Directed Acyclic Graph Diffusion
  2023