most citedLink Prediction Accuracy on Real-World Networks Under Non-Uniform Missing Edge Patterns

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Meta-learning optimizes predictions of missing links in real-world networks

Bisman Singh, Lucy Van Kleunen, Aaron Clauset

Relational data are ubiquitous in real-world data applications, e.g., in social network analysis or biological modeling, but networks are nearly always incompletely observed. The s…

math.DS2024★ 5 cited

Link Prediction Accuracy on Real-World Networks Under Non-Uniform Missing Edge Patterns

Xie He, Amir Ghasemian, Eun Lee +3

Real-world network datasets are typically obtained in ways that fail to capture all edges. The patterns of missing data are often non-uniform as they reflect biases and other short…