118 citations · 438 across the 49 of their papers we have counts for
4 papers · 1 filter
A Joint Graph Inference Case Study: the C.elegans Chemical and Electrical Connectomes
Li Chen, Joshua T. Vogelstein, Vince Lyzinski +1
We investigate joint graph inference for the chemical and electrical connectomes of the \textit{Caenorhabditis elegans} roundworm. The \textit{C.elegans} connectomes consist of $25…
Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks
Aren Jansen, Gregory Sell, Vince Lyzinski
Several popular graph embedding techniques for representation learning and dimensionality reduction rely on performing computationally expensive eigendecompositions to derive a non…
Community Detection and Classification in Hierarchical Stochastic Blockmodels
Vince Lyzinski, Minh Tang, Avanti Athreya +2
We propose a robust, scalable, integrated methodology for community detection and community comparison in graphs. In our procedure, we first embed a graph into an appropriate Eucli…
Fast Embedding for JOFC Using the Raw Stress Criterion
Vince Lyzinski, Youngser Park, Carey E. Priebe +1
The Joint Optimization of Fidelity and Commensurability (JOFC) manifold matching methodology embeds an omnibus dissimilarity matrix consisting of multiple dissimilarities on the sa…