1 citations · 1 across the 1 of their papers we have counts for
3 papers · 1 filter
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
Tony Gracious, Shubham Gupta, Arun Kanthali +2
Although static networks have been extensively studied in machine learning, data mining, and AI communities for many decades, the study of dynamic networks has recently taken cente…
Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates
Shubham Gupta, Gururaj K., Ambedkar Dukkipati +1
Networks with node covariates offer two advantages to community detection methods, namely, (i) exploit covariates to improve the quality of communities, and more importantly, (ii)…
Detecting a planted community in an inhomogeneous random graph
Kay Bogerd, Rui M. Castro, Remco van der Hofstad +1
We study the problem of detecting whether an inhomogeneous random graph contains a planted community. Specifically, we observe a single realization of a graph. Under the null hypot…