4 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
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…
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks
Konstantinos Pantazis, Avanti Athreya, Jesús Arroyo +3
Spectral inference on multiple networks is a rapidly-developing subfield of graph statistics. Recent work has demonstrated that joint, or simultaneous, spectral embedding of multip…
Multiplex graph matching matched filters
Konstantinos Pantazis, Daniel L. Sussman, Youngser Park +3
We consider the problem of detecting a noisy induced multiplex template network in a larger multiplex background network. Our approach, which extends the framework of Sussman et al…