The following three papers have been accepted for presentation at IEEE International Conference on Data Mining (ICDM 2023).
Y. Li, L. Xu, and K. Yamanishi: "GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation”(regular).
S.Fukushima and K. Yamanishi: ""Balancing Summarization and Change Detection in Graph Streams" (short).
R.Yuki, A.Suzuki, and K. Yamanishi: "Dimensionality and Curvature Selection of Graph Embedding using DNML Code-Length" (short).
