3 papers
cs.LG2026
Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense
Zhanke Zhou, Bo Han, Xuan Li +3
Graph neural networks (GNNs) are widely deployed on relational data, yet they can leak sensitive or proprietary information about the training graph adjacency, e.g., social ties, t…
cs.CV2026
Neural Operator-Grounded Continuous Tensor Function Representation and Its Applications
Ruoyang Su, Xi-Le Zhao, Sheng Liu +3
Recently, continuous tensor functions have attracted increasing attention, because they can unifiedly represent data both on mesh grids and beyond mesh grids. However, since mode-$…
cs.CV2025
NeuMatC: A General Neural Framework for Fast Parametric Matrix Operation
Chuan Wang, Xi-le Zhao, Zhilong Han +3
Matrix operations (e.g., inversion and singular value decomposition (SVD)) are fundamental in science and engineering. In many emerging real-world applications (such as wireless co…