Face recognition using interest points and ensemble of classifiers. - A. Vinay; Pratik Rajesh Sampat; Sagar V. Belavadi; R. Pratik; B. S. Nikitha Rao; Rahul Ragesh; K. N. Balasubramanya Murthy; S. Natarajan 001 (RAIT, 2018)

Analysis of Joints for Tracking Fitness and Monitoring Progress in Physiotherapy. - B. S. Nikitha Rao; Piyush M. Surana; Rahul Ragesh; Gowri Srinivasa (ICSIPA, 2019)

A Graph Convolutional Network Composition Framework for Semi-supervised Classification. - Rahul Ragesh; Sundararajan Sellamanickam; Vijay Lingam; Arun Iyer (CoRR, 2020)

S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels. - Arunava Chakraborty; Rahul Ragesh; Mahir Shah; Nipun Kwatra (CoRR, 2020)

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. - Rahul Ragesh; Sundararajan Sellamanickam; Arun Iyer; Ramakrishna Bairi; Vijay Lingam (WSDM, 2021)

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. - Rahul Ragesh; Sundararajan Sellamanickam; Vijay Lingam; Arun Iyer; Ramakrishna Bairi (CoRR, 2021)

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks. - Vijay Lingam; Arun Iyer; Rahul Ragesh (CoRR, 2021)

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs. - Vijay Lingam; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (CoRR, 2021)

Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. - Vijay Lingam; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (CoRR, 2021)

A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks. - Vijay Lingam; Manan Sharma; Chanakya Ekbote; Rahul Ragesh; Arun Iyer; Sundararajan Sellamanickam (ECML/PKDD (2), 2022)