Sundararajan Sellamanickam

Microsoft Research (India) — India

Computer Science · Physical Sciences

9h-index507citations49works0.02yr avg
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Research Topics

Advanced Graph Neural Networks(14), Text and Document Classification Technologies(14), Face and Expression Recognition(8), Recommender Systems and Techniques(6), Complex Network Analysis Techniques(5)

Publications49 total

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
arXiv (Cornell University)·2023· 1 citedOpen Access
Simulating Network Paths with Recurrent Buffering Units
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 1 citedOpen Access
A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks
Lecture notes in computer science·2023
Data-Driven Network Path Simulation with iBox
ACM SIGMETRICS Performance Evaluation Review·2022
Data-Driven Network Path Simulation with iBox
2022
Data-Driven Network Path Simulation with iBox
Proceedings of the ACM on Measurement and Analysis of Computing Systems·2022· 2 cited
Simulating Network Paths with Recurrent Buffering Units
arXiv (Cornell University)·2022Open Access
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
arXiv (Cornell University)·2021· 1 citedOpen Access
IGLU: Efficient GCN Training via Lazy Updates
arXiv (Cornell University)·2021Open Access
Effective Eigendecomposition based Graph Adaptation for Heterophilic\n Networks
arXiv (Cornell University)·2021Open Access
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
arXiv (Cornell University)·2021Open Access
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
arXiv (Cornell University)·2021· 6 citedOpen Access
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
Knowledge Discovery and Data Mining·2021
HeteGCN
2021· 74 cited
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation
arXiv (Cornell University)·2021· 3 citedOpen Access
iBox
2020· 7 cited
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification
arXiv (Cornell University)·2020· 19 citedOpen Access
A Graph Convolutional Network Composition Framework for Semi-supervised Classification
arXiv (Cornell University)·2020· 2 citedOpen Access
A Graph Convolutional Network Composition Framework for Semi-supervised\n Classification
arXiv (Cornell University)·2020· 2 citedOpen Access
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles
arXiv (Cornell University)·2017Open Access
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Frequent Co-authors

Arun Iyer(12), Rahul Ragesh(11), Vijay Lingam(11), Sathiya Keerthi Selvaraj(10), Dhruv Mahajan(9), Shirish Shevade(7), Vinod Nair(6), Nagarajan Natarajan(6), Venkata N. Padmanabhan(5), Shubham Tiwari(5), S. Sathiya Keerthi(4), Sachin Ashok(4), Johannes Gehrke(4), Rahul Kidambi(4), Ramakrishna Bairi(3), Subhajit Sanyal(3), Amit Madaan(3), Chanakya Ekbote(3), Sathiya Keerthi(2), Sandeepkumar Satpal(2)