Search Results - Sundararajan Sellamanickam

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  1. 1
    A joint learning framework for attribute models and object descriptions

    A joint learning framework for attribute models and object descriptions by Mahajan, D., Sellamanickam, S., Nair, V.

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  2. 2
    Learning hierarchical similarity metrics

    Learning hierarchical similarity metrics by Verma, Nakul, Mahajan, Dhruv, Sellamanickam, Sundararajan, Nair, Vinod

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  3. 3
    Data-Driven Network Path Simulation with iBox

    Data-Driven Network Path Simulation with iBox by Ashok, Sachin, Tiwari, Shubham, Natarajan, Nagarajan, Padmanabhan, Venkata N., Sellamanickam, Sundararajan

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  4. 4
    Simulating Network Paths with Recurrent Buffering Units

    Simulating Network Paths with Recurrent Buffering Units by Anshumaan, Divyam, Balasubramanian, Sriram, Tiwari, Shubham, Natarajan, Nagarajan, Sellamanickam, Sundararajan, Padmanabhan, Venkat N.

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  5. 5
    FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations

    FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations by Ekbote, Chanakya, Deshpande, Ajinkya Pankaj, Iyer, Arun, Bairi, Ramakrishna, Sundararajan Sellamanickam

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  6. 6
    Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks

    Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks by Lingam, Vijay, Ragesh, Rahul, Iyer, Arun, Sundararajan Sellamanickam

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  7. 7
    Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

    Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs by Lingam, Vijay, Ragesh, Rahul, Iyer, Arun, Sundararajan Sellamanickam

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  8. 8
    Simulating Network Paths with Recurrent Buffering Units

    Simulating Network Paths with Recurrent Buffering Units by Anshumaan, Divyam, Balasubramanian, Sriram, Tiwari, Shubham, Nagarajan Natarajan, Sundararajan Sellamanickam, Padmanabhan, Venkata N

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  9. 9
    User Embedding based Neighborhood Aggregation Method for Inductive Recommendation

    User Embedding based Neighborhood Aggregation Method for Inductive Recommendation by Ragesh, Rahul, Sundararajan Sellamanickam, Lingam, Vijay, Iyer, Arun, Bairi, Ramakrishna

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  10. 10
    HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

    HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification by Ragesh, Rahul, Sundararajan Sellamanickam, Iyer, Arun, Bairi, Ram, Lingam, Vijay

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  11. 11
    IGLU: Efficient GCN Training via Lazy Updates

    IGLU: Efficient GCN Training via Lazy Updates by S Deepak Narayanan, Sinha, Aditya, Jain, Prateek, Kar, Purushottam, Sundararajan Sellamanickam

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  12. 12
    A Graph Convolutional Network Composition Framework for Semi-supervised Classification

    A Graph Convolutional Network Composition Framework for Semi-supervised Classification by Ragesh, Rahul, Sundararajan Sellamanickam, Lingam, Vijay, Iyer, Arun

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  13. 13
    A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

    A Piece-wise Polynomial Filtering Approach for Graph Neural Networks by Lingam, Vijay, Ekbote, Chanakya, Sharma, Manan, Ragesh, Rahul, Iyer, Arun, Sundararajan Sellamanickam

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  14. 14
    An Additive Model View to Sparse Gaussian Process Classifier Design

    An Additive Model View to Sparse Gaussian Process Classifier Design by Sundararajan Sellamanickam, Shevade, Shirish

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  15. 15
    Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification

    Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification by Lakshmana, Madhusudan, Sundararajan Sellamanickam, Shevade, Shirish, Selvaraj, Keerthi

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  16. 16
    Transductive Classification Methods for Mixed Graphs

    Transductive Classification Methods for Mixed Graphs by Sundararajan Sellamanickam, Selvaraj, Sathiya Keerthi

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  17. 17
    Graph Based Classification Methods Using Inaccurate External Classifier Information

    Graph Based Classification Methods Using Inaccurate External Classifier Information by Sundararajan Sellamanickam, Selvaraj, Sathiya Keerthi

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  18. 18
    Predictive Approaches For Gaussian Process Classifier Model Selection

    Predictive Approaches For Gaussian Process Classifier Model Selection by Sundararajan Sellamanickam, Selvaraj, Sathiya Keerthi

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  19. 19
    A Classification Based Framework for Concept Summarization

    A Classification Based Framework for Concept Summarization by Mahajan, D., Sellamanickam, S., Sanyal, S., Madaan, A.

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  20. 20
    Large Margin Semi-supervised Structured Output Learning

    Large Margin Semi-supervised Structured Output Learning by Balamurugan, P, Shevade, Shirish, Sundararajan Sellamanickam

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