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Rahul Ragesh

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A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Dec 07, 2021
Vijay Lingam, Chanakya Ekbote, Manan Sharma, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

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Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks

Jul 28, 2021
Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

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Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

Jun 24, 2021
Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

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GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks

Feb 20, 2021
Vijay Lingam, Arun Iyer, Rahul Ragesh

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User Embedding based Neighborhood Aggregation Method for Inductive Recommendation

Feb 16, 2021
Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi

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S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels

Oct 23, 2020
Arunava Chakraborty, Rahul Ragesh, Mahir Shah, Nipun Kwatra

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HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Aug 19, 2020
Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ram Bairi, Vijay Lingam

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A Graph Convolutional Network Composition Framework for Semi-supervised Classification

Apr 08, 2020
Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer

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