Md. Khaledur Rahman

Md. Khaledur Rahman

Indiana University Bloomington

H-index: 10

North America-United States

About Md. Khaledur Rahman

Md. Khaledur Rahman, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Indiana University Bloomington, specializes in the field of HPC, Graph Representation Learning, Graph Neural Networks, Graph Visualization, Bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs

A Scalable Method for Readable Tree Layouts

Scalable force-directed graph representation learning and visualization

High-Performance Graph Representation Learning and Analytics

A Map-based Interactive System for Visualizing Large Networks with Semantic Zooming

Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy

MarkovGNN: Graph Neural Networks on Markov Diffusion

An Analytical Survey on Recent Trends in High Dimensional Data Visualization

Md. Khaledur Rahman Information

University

Position

PhD Candidate Computer Science

Citations(all)

597

Citations(since 2020)

494

Cited By

313

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Md. Khaledur Rahman Skills & Research Interests

HPC

Graph Representation Learning

Graph Neural Networks

Graph Visualization

Bioinformatics

Top articles of Md. Khaledur Rahman

Title

Journal

Author(s)

Publication Date

Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs

Isuru Ranawaka

Md Khaledur Rahman

Ariful Azad

2023/5/15

A Scalable Method for Readable Tree Layouts

IEEE Transactions on Visualization and Computer Graphics

Kathryn Gray

Mingwei Li

Reyan Ahmed

Md Khaledur Rahman

Ariful Azad

...

2023/5/9

Scalable force-directed graph representation learning and visualization

Knowledge and Information Systems

Md Khaledur Rahman

Majedul Haque Sujon

Ariful Azad

2022/1/16

High-Performance Graph Representation Learning and Analytics

Mohammad Khaledur Rahman

2022

A Map-based Interactive System for Visualizing Large Networks with Semantic Zooming

KATHRYN GRAY

MINGWEI LI

REYAN AHMED

MD KHALEDUR RAHMAN

ARIFUL AZAD

...

2022

Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy

arXiv preprint arXiv:2208.03559

Md Khaledur Rahman

Ariful Azad

2022/8/6

MarkovGNN: Graph Neural Networks on Markov Diffusion

Md Khaledur Rahman

Abhigya Agrawal

Ariful Azad

2022/4/25

An Analytical Survey on Recent Trends in High Dimensional Data Visualization

arXiv preprint arXiv:2107.01887

Alexander Kiefer

Md Khaledur Rahman

2021/7/5

Using convolutional neural networks for tick image recognition–a preliminary exploration

Experimental and Applied Acarology

Oghenekaro Omodior

Mohammad R Saeedpour-Parizi

Md Khaledur Rahman

Ariful Azad

Keith Clay

2021/7

FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks

35th IEEE Intl. Parallel & Distributed Proc. Symp. (IEEE IPDPS 2021)

Md Khaledur Rahman

Majedul Haque Sujon

Ariful Azad

2021/5

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

arXiv preprint arXiv:2112.10372

Md Khaledur Rahman

Ariful Azad

2021/12/20

GNNfam: utilizing sparsity in protein family predictions using graph neural networks

Anuj Godase

Md Khaledur Rahman

Ariful Azad

2021/8/1

Force2Vec: Parallel Force-Directed Graph Embedding

Md Khaledur Rahman

Majedul Haque Sujon

Ariful Azad

2020/11

Training Sensitivity in Graph Isomorphism Network

Md Khaledur Rahman

2020/8/19

BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory

IEEE Pacific Visualization Symposium (IEEE PacificVis 2020)

Md Khaledur Rahman

Majedul Haque Sujon

Ariful Azad

2020/2/11

See List of Professors in Md. Khaledur Rahman University(Indiana University Bloomington)

Co-Authors

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