2026
Attributed Network Alignment: Statistical Limits and Efficient Algorithm
ICML 2026poster
This paper studies the problem of recovering a hidden vertex correspondence between two correlated graphs when both edge weights and node features are observed. While most existing work on graph alignment relies primarily on edge information, many real-world applications provide informative node fea…