142 citations · 458 across the 31 of their papers we have counts for
3 papers · 1 filter
Multi-level hypothesis testing for populations of heterogeneous networks
Guilherme Gomes, Vinayak Rao, Jennifer Neville
In this work, we consider hypothesis testing and anomaly detection on datasets where each observation is a weighted network. Examples of such data include brain connectivity networ…
Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls
Jiasen Yang, Bruno Ribeiro, Jennifer Neville
Research in statistical relational learning has produced a number of methods for learning relational models from large-scale network data. While these methods have been successfull…
Transforming Graph Representations for Statistical Relational Learning
Ryan A. Rossi, Luke K. McDowell, David W. Aha +1
Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and…