Sayan Ranu



April, 2021: Good news amidst the gloom!

Our work on position-aware graph neural networks to appear in IJCAI 2021.

Jan, 2021:

Honored to receive the Outstanding Reviewer Award at WSDM 2021. The credit goes to the fantastic subreviewers I was lucky to receive help from. Thanks and congrats Nikhil, Harsh, Sahil, Prithu, Jithin, and Sourav!

Jan, 2021:

Honored to be appointed as the Nick McKeown Chair in Computer Science at IIT Delhi.

Jan, 2021:

Serving as the Demo co-chair of SIGMOD 2022 and in the PC of KDD 2021 and VLDB 2022.

Paper Alert!

Signed graphs capture nuances that regular graphs cannot. How can we maximize balance in signed graphs? Our work, which will appear in WSDM 2021, studies this problem. Congrats to the entire team and particularly Kartik!

Paper Alert!

Can we learn combinatorial algorithms on billion-scale graphs? Our algorithm GCOMB shows you can! As a by-product, GCOMB is possibly the fastest algorithm for Influence Maximization. Our work will appear in NeurIPS 2020. Congrats to the team and particularly Sahil!

Sept, 2020:

Promoted to Associate Professor.

Award Alert!

Manas wins the Suresh Chandra Memorial Best IITD-CSE MTech Award for his MTech thesis on food delivery. This work will also appear in ICDE 2021.

Paper Alert:

Our collaboration work with Swiggy to minimize food delivery time will appear in ICDE 2021. Congrats to Manas and Arshdeep!

Aug, 2020:

Delighted to be selected as an Associate of the Indian Academy of Sciences (IASc)! A lot of the credit goes to the fantastic students and collaborators I have been fortunate to work with over the last six years.

July, 2020:

Serving as the area chair of AAAI 2021.

Award Alert!:

My first PhD graduate Jithin Vachery receives the Institute Research Award as well IBM Best Phd Thesis Award from CSE IIT M. Congratulations Jithin!

June, 2020:

Watch our presentation on graph generative modeling, which appeared in WWW 2020!

June, 2020:

Serving in the PC of ICDE 2021 and WSDM 2021.

I am an Associate Professor and Nick McKeown Chair in the CSE department at IIT Delhi. I also hold the position of Associate Faculty at the School of AI, IIT Delhi. My research interests span the broad area of network science with particular focus on graph neural networks, social network analysis, querying and mining spatio-temporal data, and bioinformatics. The tag-cloud of my paper abstracts provides an accurate representation of my research interests.

I graduated from the Computer Science department of University of California, Santa Barbara in March, 2012 under the supervision of Prof. Ambuj Singh. Prior to joining IIT D, I worked as Assistant Professor at IIT Madras for close to three years and at IBM Research, Bangalore for a year and a half.

Internships: I am NOT offering any short-term projects. My apologies if I don't respond to your email.


  • Office: Bharti 421
  • Linked In