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Sundararajan Sellamanickam

Simulating Network Paths with Recurrent Buffering Units


Feb 23, 2022
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkata N. Padmanabhan

* 20 pages, 12 figures 

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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

* 28 pages, 9 figures, Under Review 

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IGLU: Efficient GCN Training via Lazy Updates


Sep 28, 2021
S Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam

* Under Review, 26 pages 

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Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks


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

* arXiv admin note: text overlap with arXiv:2106.12807 

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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

* Accepted at Deep Learning on Graphs: Method and Applications (DLG-KDD 2021) 

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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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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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Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification


Oct 10, 2016
Madhusudan Lakshmana, Sundararajan Sellamanickam, Shirish Shevade, Keerthi Selvaraj


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