activity
20202023
most citedSemi-Supervised Node Classification by Graph Convolutional Networks and Extracted Side Information

9 citations · 10 across the 3 of their papers we have counts for

collaborators

5 papers

math.DS2023★ 1 cited

Exact dimension of dynamical stationary measures

François Ledrappier, Pablo Lessa

We consider a random walk on with finite first moment and finite entropy. We show that the distributions of the unstable flag space and of the stable flag space…

cs.SI2023

Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables

Mohammad Esmaeili, Aria Nosratinia

Empirical observations suggest that in practice, community membership does not completely explain the dependency between the edges of an observation graph. The residual dependence…

stat.ML2021

Semidefinite Programming for Community Detection with Side Information

Mohammad Esmaeili, Hussein Metwaly Saad, Aria Nosratinia

This paper produces an efficient Semidefinite Programming (SDP) solution for community detection that incorporates non-graph data, which in this context is known as side informatio…

cs.SI2021

Community Detection: Exact Recovery in Weighted Graphs

Mohammad Esmaeili, Aria Nosratinia

In community detection, the exact recovery of communities (clusters) has been mainly investigated under the general stochastic block model with edges drawn from Bernoulli distribut…

cs.LG2020★ 9 cited

Semi-Supervised Node Classification by Graph Convolutional Networks and Extracted Side Information

Mohammad Esmaeili, Aria Nosratinia

The nodes of a graph existing in a cluster are more likely to connect to each other than with other nodes in the graph. Then revealing some information about some nodes, the struct…