Graph Learning for Clustering Multi-view Data. - Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (CoRR, 2020)

Learning a Partial Graph and the Nyström Extension for Spectral Clustering. - Sravanthi Gurugubelli; Sai Kiran Kadambari; Sundeep Prabhakar Chepuri (ACSCC, 2021)

Learning Multi-layer Graphs and a Common Representation for Clustering. - Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (EUSIPCO, 2021)

Identifying Core-Periphery Structures Using Graph Neural Networks. - Rajat Kumar; Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (IEEECONF, 2022)

Learning Sparse Graphs with a Core-Periphery Structure. - Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (ICASSP, 2022)

Generative Models and Learning Algorithms for Core-Periphery Structured Graphs. - Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (CoRR, 2022)

Gaussian Processes for Edge Flow Prediction with Active Learning. - Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (ACSSC, 2023)

Variational Self-Supervised Learning on Simplicial Complexes. - Ayushman Raghuvanshi; Sravanthi Gurugubelli; Hiren Madhu; Sundeep Prabhakar Chepuri (IEEECONF, 2024)

Simplicial Complex Learning from Edge Flows via Sparse Clique Sampling. - Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (EUSIPCO, 2024)

SaNN: Simple Yet Powerful Simplicial-aware Neural Networks. - Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (ICLR, 2024)

Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms. - Hiren Madhu; Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (ICML, 2024)

Gaussian Processes for Predicting Simplicial Closure. - Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (SAM, 2024)

Topological Scattering over Product Cell Complexes. - Ayushman Raghuvanshi; Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri (ICASSP, 2025)