Arijit Khan

Associate Professor

Aalborg University

Denmark

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About

Dr. Arijit Khan is an Associate Professor at Aalborg University in Denmark. His research interests encompass machine learning applications, particularly in blockchain data analysis, entity resolution, and graph neural networks. He has contributed significantly to the field with articles focusing on areas such as clustering, voting theory, and optimization in data-intensive environments.

Articles (16)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2020

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2020

Collaborators (4)

Laks V.S. Lakshmanan

The University of British Columbia

CANADA

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Cuneyt Gurcan Akcora

Associate professor of Finance and Computer Science

University of Central Florida

UNITED STATES

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Arkaprava Saha

Assistant Professor

University of Tsukuba

JAPAN

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Yllka Velaj

Universität Wien

AUSTRIA

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Arijit Khan

Research Interests

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About

Articles (16)

Beyond influence: voting theory for opinion maximization

In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration

Machine Learning for Blockchain Data Analysis: Progress and Opportunities

Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding

Enhancing glucose level prediction of ICU patients through hierarchical modeling of irregular time-series

Identifying Shader Sub-Patterns for GPU Performance Tuning and Architecture Design

Data depth and core-based trend detection on blockchain transaction networks

View-based Explanations for Graph Neural Networks

Knowledge Graphs Querying

Distributed Graph Embedding with Information-Oriented Random Walks

Efficiently embedding dynamic knowledge graphs

Multi-relation Graph Summarization

Reliability Maximization in Uncertain Graphs

Shortest Paths and Centrality in Uncertain Networks

K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks

Mining Top-k Pairs of Correlated Subgraphs in a Large Network

Collaborators (4)

Laks V.S. Lakshmanan

Cuneyt Gurcan Akcora

Arkaprava Saha

Yllka Velaj

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