2 papers
cs.CL2025
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment
Tao Meng, Shuo Shan, Hongen Shao +3
Entity alignment aims to use pre-aligned seed pairs to find other equivalent entities from different knowledge graphs (KGs) and is widely used in graph fusion-related fields. Howev…
cs.LG2021
Kernel Mean Estimation by Marginalized Corrupted Distributions
Xiaobo Xia, Shuo Shan, Mingming Gong +4
Estimating the kernel mean in a reproducing kernel Hilbert space is a critical component in many kernel learning algorithms. Given a finite sample, the standard estimate of the tar…