Publications

• D. Huang, P. Yang, (α-β), Testing Correlation in Graphs by Counting Bounded Degree Motifs, submitted.
• D. Huang, P. Yang, (α-β), Sample Complexity of Correlation Detection in the Gaussian Wigner Model, the 42nd International Conference on Machine Learning (ICML), 2025. arxiv
• D. Huang, X. Song, P. Yang, (α-β), Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs.
  • Short version: the 37th Annual Conference on Learning Theory (COLT), 2024. pdf
  • Long version: submited. arxiv
• Y. Lin, S.Li, J. Xu, J.Xu, D. Huang, W. Zheng, Y. Cao, J. Lu, Graph Over-Parameterization: Why the Graph Helps the Training of Deep Graph Convolutional Network, Neurocomputing, 2023. pdf