Sravanthi Gurugubelli

According to our database, Sravanthi Gurugubelli authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Gaussian Processes for Edge Flow Prediction with Active Learning.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Generative Models and Learning Algorithms for Core-Periphery Structured Graphs.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

CoRR, 2022

Learning Sparse Graphs with a Core-Periphery Structure.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the IEEE International Conference on Acoustics, 2022

Identifying Core-Periphery Structures Using Graph Neural Networks.

Rajat Kumar, Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Learning Multi-layer Graphs and a Common Representation for Clustering.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the 29th European Signal Processing Conference, 2021

Learning a Partial Graph and the Nyström Extension for Spectral Clustering.

Sravanthi Gurugubelli, Sai Kiran Kadambari, Sundeep Prabhakar Chepuri

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Graph Learning for Clustering Multi-view Data.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

CoRR, 2020