Comet Calendar

The community detection problem involves observing the edges of a graph and making inferences about vertex labels (community labels) that are statistically related to the edges. Applications include recommendation systems, social media analysis, and fraud detection. This problem is often modeled with a stochastic block model, a generalization of the Erdos-Renyi graph in which the edge probabilities depend on the identity of the vertices (nodes) at which they terminate. In the last decade, much progress has been made in inference using the stochastic block model, in particular conditions for asymptotic recovery in certain regimes are now known. Our work is motivated by the usual presence of non-graphical data, which we call "side information," along with (and related with) graphical data.  We discuss the influence of non-graphical side information on community detection via analyzing the inference phase transition threshold. This threshold essentially expresses which problems (graphs) are fundamentally solvable, which ones are not, and when and how does side information change that distinction. For the two-community problem, the effect of partially revealed labels and noisy label side information is discussed. A more general side information with arbitrary alphabet consisting of k features is studied. Implications of these results will be discussed. 

Green Building GR Building

Natural Sciences & Mathematics
Viswanath Ramakrishna

UTD strives to create inclusive and accessible events in accordance with the Americans with Disabilities Act (ADA). If you require an accommodation to fully participate in this event, please contact the event coordinator (listed above) at least 10 business days prior to the event. If you have any additional questions, please email and the AccessAbility Resource Center at

Event Publishing

Add an Event 

Submit your own event using our simple event submission form. It only takes a minute!

Event Publisher Training 

Learn best practices to maximize the calendar’s latest features.

Make a Calendar Feed 

Embed events anywhere on the web with our widget builder.

Explore Comet Calendar

Events by Email

Get a personalized list of events in your inbox with our digest emailer.

30-second Survey

Share your feedback and suggestions on how we can improve the Comet Calendar.

The University of Texas at Dallas