ARIJIT KHAN

About ARIJIT KHAN

ARIJIT KHAN, With an exceptional h-index of 25 and a recent h-index of 21 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Graph Data, Data Management, Data Mining, Knowledge Bases, Graph Machine Learning.

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

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

Generating Robust Counterfactual Witnesses for Graph Neural Networks

View-based Explanations for Graph Neural Networks

A Demonstration of Interpretability Methods for Graph Neural Networks

Voting-based Opinion Maximization

Interpretability Methods for Graph Neural Networks

Knowledge Graphs Querying

Distributed Graph Embedding with Information-Oriented Random Walks

ARIJIT KHAN Information

University

Position

Assistant Professor (NTU)

Citations(all)

2643

Citations(since 2020)

1479

Cited By

1705

hIndex(all)

25

hIndex(since 2020)

21

i10Index(all)

42

i10Index(since 2020)

38

Email

University Profile Page

Google Scholar

ARIJIT KHAN Skills & Research Interests

Graph Data

Data Management

Data Mining

Knowledge Bases

Graph Machine Learning

Top articles of ARIJIT KHAN

Title

Journal

Author(s)

Publication Date

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

Frontiers in Blockchain

Jason Zhu

Arijit Khan

Cuneyt Gurcan Akcora

2024/2/16

Generating Robust Counterfactual Witnesses for Graph Neural Networks

arXiv preprint arXiv:2404.19519

Dazhuo Qiu

Mengying Wang

Arijit Khan

Yinghui Wu

2024/4/30

View-based Explanations for Graph Neural Networks

Proceedings of the ACM on Management of Data

Tingyang Chen

Dazhuo Qiu

Yinghui Wu

Arijit Khan

Xiangyu Ke

...

2024/3/26

A Demonstration of Interpretability Methods for Graph Neural Networks

Ehsan Bonabi Mobaraki

Arijit Khan

2023/6/18

Voting-based Opinion Maximization

Arkaprava Saha

Xiangyu Ke

Arijit Khan

Laks V.S. Lakshmanan

2023

Interpretability Methods for Graph Neural Networks

Arijit Khan

Ehsan B. Mobaraki

2023

Knowledge Graphs Querying

ACM SIGMOD Record

Arijit Khan

2023

Distributed Graph Embedding with Information-Oriented Random Walks

Proceedings of the VLDB Endowment (PVLDB)

Peng Fang

Arijit Khan

Siqiang Luo

Fang Wang

Dan Feng

...

2023

Neighborhood-based Hypergraph Core Decomposition

Proceedings of the VLDB Endowment (PVLDB)

Naheed Anjum Arafat

Arijit Khan

Arpit Kumar Rai

Bishwamittra Ghosh

2023

Most Probable Densest Subgraphs

Arkaprava Saha

Xiangyu Ke

Arijit Khan

Cheng Long

2023/4/3

Reliability Maximization in Uncertain Graphs

IEEE Transactions on Knowledge and Data Engineering

Xiangyu Ke

Arijit Khan

Mohammad Al Hasan

Rojin Rezvansangsari

2022/2/1

Efficiently Embedding Dynamic Knowledge Graphs

Knowledge-Based Systems

Tianxing Wu

Arijit Khan

Melvin Yong

Guilin Qi

Meng Wang

2022/5/31

ShaderNet: graph-based shader code analysis to accelerate GPU's performance improvement

Lin Zhao

Arijit Khan

Robby Luo

2022

Graph-based Management and Mining of Blockchain Data

Arijit Khan

Cuneyt Gurcan Akcora

2022

Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling

Yuxiang Wang

Arijit Khan

Xiaoliang Xu

Jiahui Jin

Qifan Hong

...

2022/5/9

Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration

Yuxiang Wang

Arijit Khan

Xiaoliang Xu

Shuzhan Ye

Shihuang Pan

...

2022/10/17

Automating ETL and Mining of Ethereum Blockchain Network

Voon Hou Su

Sourav Sen Gupta

Arijit Khan

2022

Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning

Lin Zhao

Arijit Khan

Robby Luo

Chai Kiat Yeo

2022

Multi-relation Graph Summarization

ACM Transactions on Knowledge Discovery from Data (TKDD)

Xiangyu Ke

Arijit Khan

Francesco Bonchi

2022/3/10

Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work

Arijit Khan

2022

See List of Professors in ARIJIT KHAN University(Nanyang Technological University)

Co-Authors

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