Rahul Ragesh

According to our database1, Rahul Ragesh authored at least 10 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks.
CoRR, 2021

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs.
CoRR, 2021

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks.
CoRR, 2021

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation.
CoRR, 2021

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification.
Proceedings of the WSDM '21, 2021

2020
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels.
CoRR, 2020

A Graph Convolutional Network Composition Framework for Semi-supervised Classification.
CoRR, 2020

2019
Analysis of Joints for Tracking Fitness and Monitoring Progress in Physiotherapy.
Proceedings of the 2019 IEEE International Conference on Signal and Image Processing Applications, 2019

2018
Face recognition using interest points and ensemble of classifiers.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018


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