activity
20192024
most citedThe Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks

4 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2024

Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings

Konstantinos Pantazis, Michael Trosset, William N. Frost +2

Theoretical and empirical evidence suggests that joint graph embedding algorithms induce correlation across the networks in the embedding space. In the Omnibus joint graph embeddin…

stat.ML2022

Clustered Graph Matching for Label Recovery and Graph Classification

Zhirui Li, Jesus Arroyo, Konstantinos Pantazis +1

Given a collection of vertex-aligned networks and an additional label-shuffled network, we propose procedures for leveraging the signal in the vertex-aligned collection to recover…