research
∙
01/29/2022
SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework
Graph convolutional networks (GCNs) allow us to learn topologically-awar...
share
research
∙
01/24/2022
On Evaluation Metrics for Graph Generative Models
In image generation, generative models can be evaluated naturally by vis...
research
∙
12/21/2020
Building LEGO Using Deep Generative Models of Graphs
Generative models are now used to create a variety of high-quality digit...
research
∙
10/11/2019
A Nonparametric Bayesian Model for Sparse Temporal Multigraphs
As the availability and importance of temporal interaction data–such as ...
research
∙
05/28/2019
Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks
Interaction graphs, such as those recording emails between individuals o...
research
∙
05/27/2018