Search Results - Subbian, Karthik

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  1. 1
    Evolutionary Network Analysis: A Survey

    Evolutionary Network Analysis: A Survey by Aggarwal, Charu, Subbian, Karthik

    Published in ACM computing surveys
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  2. 2
    Self-supervised Short-text Modeling through Auxiliary Context Generation

    Self-supervised Short-text Modeling through Auxiliary Context Generation by Choudhary, Nurendra, Aggarwal, Charu C., Subbian, Karthik, Reddy, Chandan K.

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  3. 3
    Mining Influencers Using Information Flows in Social Streams

    Mining Influencers Using Information Flows in Social Streams by Subbian, Karthik, Aggarwal, Charu, Srivastava, Jaideep

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  4. 4
    Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation

    Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation by Zhu, Jiong, Reganti, Aishwarya, Huang, Edward W., Dickens, Charles, Rao, Nikhil, Subbian, Karthik, Koutra, Danai

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  5. 5
    Finding influencers in networks using social capital

    Finding influencers in networks using social capital by Subbian, Karthik, Sharma, Dhruv, Wen, Zhen, Srivastava, Jaideep

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  6. 6
    Dynamic matrix factorization: A state space approach

    Dynamic matrix factorization: A state space approach by Sun, J. Z., Varshney, K. R., Subbian, K.

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  7. 7
    An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce

    An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce by Choudhary, Nurendra, Huang, Edward W, Subbian, Karthik, Reddy, Chandan K

    Published in arXiv.org
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  8. 8
    Finding Needles in Heterogeneous Haystacks

    Finding Needles in Heterogeneous Haystacks by Adhikari, Bijaya, Li, Liangyue, Rao, Nikhil, Subbian, Karthik

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  9. 9
    Learning Backward Compatible Embeddings

    Learning Backward Compatible Embeddings by Hu, Weihua, Bansal, Rajas, Cao, Kaidi, Rao, Nikhil, Subbian, Karthik, Leskovec, Jure

    Published in arXiv.org
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  10. 10
    Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs

    Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs by Choudhary, Nurendra, Rao, Nikhil, Katariya, Sumeet, Subbian, Karthik, Reddy, Chandan K

    Published in arXiv.org
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  11. 11
    Supervised Rank Aggregation for Predicting Influencers in Twitter

    Supervised Rank Aggregation for Predicting Influencers in Twitter by Subbian, K., Melville, P.

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  12. 12
    Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets

    Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets by Basu, Sabyasachi, Paul-Pena, Daniel, Qian, Kun, Seshadhri, C, Huang, Edward W, Subbian, Karthik

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  13. 13
    Text Enriched Sparse Hyperbolic Graph Convolutional Networks

    Text Enriched Sparse Hyperbolic Graph Convolutional Networks by Choudhary, Nurendra, Rao, Nikhil, Subbian, Karthik, Reddy, Chandan K

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  14. 14
    Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training

    Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training by Dickens, Charles, Huang, Eddie, Reganti, Aishwarya, Zhu, Jiong, Subbian, Karthik, Koutra, Danai

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  15. 15
    Learning Robust Models for e-Commerce Product Search

    Learning Robust Models for e-Commerce Product Search by Nguyen, Thanh V, Rao, Nikhil, Subbian, Karthik

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  16. 16
    All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks

    All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks by Jaiswal, Ajay, Choudhary, Nurendra, Adkathimar, Ravinarayana, Alagappan, Muthu P, Hiranandani, Gaurush, Ding, Ying, Wang, Zhangyang, Huang, Edward W, Subbian, Karthik

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  17. 17
    Communication-Free Distributed GNN Training with Vertex Cut

    Communication-Free Distributed GNN Training with Vertex Cut by Cao, Kaidi, Deng, Rui, Wu, Shirley, Huang, Edward W, Subbian, Karthik, Leskovec, Jure

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  18. 18
    You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction

    You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction by Zheng, Wenqing, Huang, Edward W, Rao, Nikhil, Wang, Zhangyang, Subbian, Karthik

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  19. 19
    Scalable Feature Selection for (Multitask) Gradient Boosted Trees

    Scalable Feature Selection for (Multitask) Gradient Boosted Trees by Han, Cuize, Rao, Nikhil, Sorokina, Daria, Subbian, Karthik

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  20. 20
    Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation

    Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation by Zhu, Jiong, Reganti, Aishwarya, Huang, Edward, Dickens, Charles, Rao, Nikhil, Subbian, Karthik, Koutra, Danai

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