Undersea wireless sensor network for ocean pollution prevention. - Arijit Khan 001; Lawrence Jenkins (COMSWARE, 2008)

Towards proximity pattern mining in large graphs. - Arijit Khan 001; Xifeng Yan; Kun-Lung Wu (SIGMOD Conference, 2010)

On Flow Authority Discovery in Social Networks. - Charu C. Aggarwal; Arijit Khan 001; Xifeng Yan (SDM, 2011)

Neighborhood based fast graph search in large networks. - Arijit Khan 001; Nan Li; Xifeng Yan; Ziyu Guan; Supriyo Chakraborty; Shu Tao (SIGMOD Conference, 2011)

Density index and proximity search in large graphs. - Nan Li; Xifeng Yan; Zhen Wen; Arijit Khan 001 (CIKM, 2012)

Finding Skyline Nodes in Large Networks. - Arijit Khan 001; Vishwakarma Singh; Jian Wu (ICDE Workshops, 2012)

Emerging Graph Queries in Linked Data. - Arijit Khan 001; Yinghui Wu 001; Xifeng Yan (ICDE, 2012)

Workload characterization and prediction in the cloud: A multiple time series approach. - Arijit Khan 001; Xifeng Yan; Shu Tao; Nikos Anerousis (NOMS, 2012)

Towards effective partition management for large graphs. - Shengqi Yang; Xifeng Yan; Bo Zong; Arijit Khan 001 (SIGMOD Conference, 2012)

NeMa: Fast Graph Search with Label Similarity. - Arijit Khan 001; Yinghui Wu 001; Charu C. Aggarwal; Xifeng Yan (Proc. VLDB Endow., 2013)

Fast Reliability Search in Uncertain Graphs. - Arijit Khan 001; Francesco Bonchi; Aristides Gionis; Francesco Gullo (EDBT, 2014)

GQBE: Querying knowledge graphs by example entity tuples. - Nandish Jayaram; Mahesh Gupta; Arijit Khan 001; Chengkai Li 001; Xifeng Yan; Ramez Elmasri (ICDE, 2014)

Towards a Query-by-Example System for Knowledge Graphs. - Nandish Jayaram; Arijit Khan 001; Chengkai Li 001; Xifeng Yan; Ramez Elmasri (GRADES, 2014)

Towards indexing functions: answering scalar product queries. - Arijit Khan 001; Pouya Yanki; Bojana Dimcheva; Donald Kossmann (SIGMOD Conference, 2014)

Systems for Big-Graphs. - Arijit Khan 001; Sameh Elnikety (Proc. VLDB Endow., 2014)

Top-k Reliable Edge Colors in Uncertain Graphs. - Arijit Khan 001; Francesco Gullo; Thomas Wohler; Francesco Bonchi (CIKM, 2015)

Top-k representative queries with binary constraints. - Arijit Khan 001; Vishwakarma Singh (SSDBM, 2015)

On Uncertain Graphs Modeling and Queries. - Arijit Khan 001; Lei Chen 002 (Proc. VLDB Endow., 2015)

Querying Knowledge Graphs by Example Entity Tuples. - Nandish Jayaram; Arijit Khan 001; Chengkai Li 001; Xifeng Yan; Ramez Elmasri (IEEE Trans. Knowl. Data Eng., 2015)

Query-friendly compression of graph streams. - Arijit Khan 001; Charu C. Aggarwal (ASONAM, 2016)

Towards Time-Discounted Influence Maximization. - Arijit Khan 001 (CIKM, 2016)

Towards Querying Uncertain Graphs. - Arijit Khan 001 (COMAD, 2016)

Revenue maximization by viral marketing: A social network host's perspective. - Arijit Khan 001; Benjamin Zehnder; Donald Kossmann (ICDE, 2016)

Augmented Sketch: Faster and More Accurate Stream Processing. - Pratanu Roy; Arijit Khan 001; Gustavo Alonso (SIGMOD Conference, 2016)

Let's Do Smart Routing: For Distributed Graph Querying with Decoupled Storage. - Arijit Khan 001; Gustavo Segovia; Donald Kossmann (CoRR, 2016)

Big-Graphs: Querying, Mining, and Beyond. - Arijit Khan 001; Sayan Ranu (Handbook of Big Data Technologies, 2017)

Select Your Questions Wisely: For Entity Resolution With Crowd Errors. - Vijaya Krishna Yalavarthi; Xiangyu Ke; Arijit Khan 001 (CIKM, 2017)

Vertex-Centric Graph Processing: Good, Bad, and the Ugly. - Arijit Khan 001 (EDBT, 2017)

Probabilistic Entity Resolution with Imperfect Crowd. - Vijaya Krishna Yalavarthi; Xiangyu Ke; Arijit Khan 001 (CoRR, 2017)

Summarizing Static and Dynamic Big Graphs. - Arijit Khan 001; Sourav S. Bhowmick; Francesco Bonchi (Proc. VLDB Endow., 2017)

Toward query-friendly compression of rapid graph streams. - Arijit Khan 001; Charu C. Aggarwal (Soc. Netw. Anal. Min., 2017)

An Empirical Analysis on Expressibility of Vertex Centric Graph Processing Paradigm. - Siyuan Liu; Arijit Khan 001 (IEEE BigData, 2018)

Steering Top-k Influencers in Dynamic Graphs via Local Updates. - Vijaya Krishna Yalavarthi; Arijit Khan 001 (IEEE BigData, 2018)

Inf2vec: Latent Representation Model for Social Influence Embedding. - Shanshan Feng 001; Gao Cong; Arijit Khan 001; Xiucheng Li; Yong Liu; Yeow Meng Chee (ICDE, 2018)

Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. - Xiangyu Ke; Arijit Khan 001; Gao Cong (SIGMOD Conference, 2018)

On Smart Query Routing: For Distributed Graph Querying with Decoupled Storage. - Arijit Khan 001; Gustavo Segovia; Donald Kossmann (USENIX ATC, 2018)

Fast Influence Maximization in Dynamic Graphs: A Local Updating Approach. - Vijaya Krishna Yalavarthi; Arijit Khan 001 (CoRR, 2018)

Composite Hashing for Data Stream Sketches. - Arijit Khan 001; Sixing Yan (CoRR, 2018)

A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors. - Xiangyu Ke; Michelle Teo; Arijit Khan 001; Vijaya Krishna Yalavarthi (Proc. VLDB Endow., 2018)

Conditional Reliability in Uncertain Graphs. - Arijit Khan 001; Francesco Bonchi; Francesco Gullo; Andreas Nufer (IEEE Trans. Knowl. Data Eng., 2018)

On Uncertain Graphs - Arijit Khan 001; Ye Yuan 001; Lei Chen 002 (Morgan & Claypool Publishers, 2018)

Maximizing Contrasting Opinions in Signed Social Networks. - Kaivalya Rawal; Arijit Khan 001 (IEEE BigData, 2019)

Distance-generalized Core Decomposition. - Francesco Bonchi; Arijit Khan 001; Lorenzo Severini (SIGMOD Conference, 2019)

Budgeted Reliability Maximization in Uncertain Graphs. - Xiangyu Ke; Arijit Khan 001; Mohammad Al Hasan; Rojin Rezvansangsari (CoRR, 2019)

Efficiently Embedding Dynamic Knowledge Graphs. - Tianxing Wu 001; Arijit Khan 001; Huan Gao; Cheng Li (CoRR, 2019)

An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. - Xiangyu Ke; Arijit Khan 001; Leroy Lim Hong Quan (Proc. VLDB Endow., 2019)

Graph Pattern Matching. - Yinghui Wu 001; Arijit Khan 001 (Encyclopedia of Big Data Technologies, 2019)

An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning. - Kenneth Teo Tian Shun; Eko Edita Limanta; Arijit Khan 001 (IEEE BigData, 2020)

Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. - Yuxiang Wang 001; Arijit Khan 001; Tianxing Wu 001; Jiahui Jin; Haijiang Yan (ICDE, 2020)

K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract). - Tenindra Abeywickrama; Muhammad Aamir Cheema; Arijit Khan 001 (ICDE, 2020)

Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. - Junghoon Kim 007; Tao Guo 002; Kaiyu Feng; Gao Cong; Arijit Khan 001; Farhana Murtaza Choudhury (SIGMOD Conference, 2020)

Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network. - Xi Tong Lee; Arijit Khan 001; Sourav Sen Gupta 001; Yu Hann Ong; Xuan Liu (WWW, 2020)

Mining Top-k Pairs of Correlated Subgraphs in a Large Network. - Arneish Prateek; Arijit Khan 001; Akshit Goyal; Sayan Ranu (Proc. VLDB Endow., 2020)

K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks. - Tenindra Abeywickrama; Muhammad Aamir Cheema; Arijit Khan 001 (IEEE Trans. Knowl. Data Eng., 2020)

Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity. - Jhalak Gupta; Arijit Khan 001 (IEEE BigData, 2021)

Online Updates of Knowledge Graph Embedding. - Luo Fei; Tianxing Wu 001; Arijit Khan 001 (COMPLEX NETWORKS, 2021)

Reliability Maximization in Uncertain Graphs (Extended Abstract). - Xiangyu Ke; Arijit Khan 001; Mohammad Al Hasan; Rojin Rezvansangsari (ICDE, 2021)

Temporal Analysis of the Entire Ethereum Blockchain Network. - Lin Zhao; Sourav Sen Gupta 001; Arijit Khan 001; Robby Luo (WWW, 2021)

Shortest Paths and Centrality in Uncertain Networks. - Arkaprava Saha; Ruben Brokkelkamp; Yllka Velaj; Arijit Khan 001; Francesco Bonchi (Proc. VLDB Endow., 2021)

Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work. - Arijit Khan 001 (Blockchain, 2022)

Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration. - Yuxiang Wang 001; Arijit Khan 001; Xiaoliang Xu; Shuzhan Ye; Shihuang Pan; Yuhan Zhou 001 (CIKM, 2022)

Graph-based Management and Mining of Blockchain Data. - Arijit Khan 001; Cuneyt Gurcan Akcora (CIKM, 2022)

Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning. - Lin Zhao; Arijit Khan 001; Robby Luo; Chai Kiat Yeo (COMPLEX NETWORKS (1), 2022)

ShaderNet: graph-based shader code analysis to accelerate GPU's performance improvement. - Lin Zhao; Arijit Khan 001; Robby Luo (GRADES-NDA@SIGMOD, 2022)

Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. - Yuxiang Wang 001; Arijit Khan 001; Xiaoliang Xu; Jiahui Jin; Qifan Hong; Tao Fu (ICDE, 2022)

Automating ETL and Mining of Ethereum Blockchain Network. - Voon Hou Su; Sourav Sen Gupta 001; Arijit Khan 001 (WSDM, 2022)

Efficiently embedding dynamic knowledge graphs. - Tianxing Wu 001; Arijit Khan 001; Melvin Yong; Guilin Qi; Meng Wang 009 (Knowl. Based Syst., 2022)

Multi-relation Graph Summarization. - Xiangyu Ke; Arijit Khan 001; Francesco Bonchi (ACM Trans. Knowl. Discov. Data, 2022)

Reliability Maximization in Uncertain Graphs. - Xiangyu Ke; Arijit Khan 001; Mohammad Al Hasan; Rojin Rezvansangsari (IEEE Trans. Knowl. Data Eng., 2022)

Interpretability Methods for Graph Neural Networks. - Arijit Khan 001; Ehsan Bonabi Mobaraki (DSAA, 2023)

A Demonstration of Interpretability Methods for Graph Neural Networks. - Ehsan Bonabi Mobaraki; Arijit Khan 001 (GRADES-NDA@SIGMOD, 2023)

Voting-based Opinion Maximization. - Arkaprava Saha; Xiangyu Ke; Arijit Khan 001; Laks V. S. Lakshmanan (ICDE, 2023)

Most Probable Densest Subgraphs. - Arkaprava Saha; Xiangyu Ke; Arijit Khan 001; Cheng Long 001 (ICDE, 2023)

Core-based Trend Detection in Blockchain Networks. - Jason Zhu; Arijit Khan 001; Cuneyt Gurcan Akcora (CoRR, 2023)

A Summary of ICDE 2022 Research Session Panels. - Zhifeng Bao; Panagiotis Bouros; Reynold Cheng; Byron Choi; Anton Dignös; Wei Ding 003; Yixiang Fang; Boyang Han; Jilin Hu; Arijit Khan 001; Wenqing Lin; Xuemin Lin 001; et al. (IEEE Data Eng. Bull., 2023)

Neighborhood-based Hypergraph Core Decomposition. - Naheed Anjum Arafat; Arijit Khan 001; Arpit Kumar Rai; Bishwamittra Ghosh (Proc. VLDB Endow., 2023)

Distributed Graph Embedding with Information-Oriented Random Walks. - Peng Fang 002; Arijit Khan 001; Siqiang Luo; Fang Wang 001; Dan Feng 001; Zhenli Li; Wei Yin; Yuchao Cao (Proc. VLDB Endow., 2023)

Knowledge Graphs Querying. - Arijit Khan 001 (SIGMOD Rec., 2023)

Knowledge Graphs for Responsible AI. - Edlira Vakaj; Nandana Mihindukulasooriya; Manas Gaur; Arijit Khan 001 (CIKM, 2024)

Estimate and Reduce Uncertainty in Uncertain Graphs. - Naheed Anjum Arafat; Ehsan Bonabi Mobaraki; Arijit Khan 001; Yllka Velaj; Francesco Bonchi (DSAA, 2024)

Synergies Between Graph Data Management and Machine Learning in Graph Data Pipeline. - Arijit Khan 001 (ICDE, 2024)

View-based Explanations for Graph Neural Networks (Extended Abstract). - Tingyang Chen; Dazhuo Qiu; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke; Yunjun Gao (ICDEW, 2024)

Generating Robust Counterfactual Witnesses for Graph Neural Networks. - Dazhuo Qiu; Mengying Wang 001; Arijit Khan 001; Yinghui Wu 001 (ICDE, 2024)

User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views. - Tingyang Chen; Dazhuo Qiu; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke; Yunjun Gao (SIGMOD Conference Companion, 2024)

LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs. - Arijit Khan 001; Tianxing Wu 001; Xi Chen 003 (VLDB Workshops, 2024)

Data Management and AI for Blockchain Data Analysis: A Round Trip and Opportunities. - Arijit Khan 001 (VLDB Workshops, 2024)

Machine Learning for Blockchain Data Analysis: Progress and Opportunities. - Poupak Azad; Cuneyt Gurcan Akcora; Arijit Khan 001 (CoRR, 2024)

Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation. - Hadi Mehdizavareh; Arijit Khan 001; Simon Lebech Cichosz (CoRR, 2024)

Data depth and core-based trend detection on blockchain transaction networks. - Jason Zhu; Arijit Khan 001; Cuneyt Gurcan Akcora (Frontiers Blockchain, 2024)

View-based Explanations for Graph Neural Networks. - Tingyang Chen; Dazhuo Qiu; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke; Yunjun Gao (Proc. ACM Manag. Data, 2024)

Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities. - Chuangtao Ma; Yongrui Chen 002; Tianxing Wu 001; Arijit Khan 001; Haofen Wang (EDBT, 2025)

LLM + Vector Data: Coupling of Large Language Models with Vector Data Management for Enhancing Data Science. - Arijit Khan 001; Yuxiang Wang 001; Weixi Zhang; Yao Tian; M. Tamer Özsu (ICDEW, 2025)

Logical Consistency of Large Language Models in Fact-Checking. - Bishwamittra Ghosh; Sarah Hasan; Naheed Anjum Arafat; Arijit Khan 001 (ICLR, 2025)

Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching. - Chuangtao Ma; Sriom Chakrabarti; Arijit Khan 001; Bálint Molnár (CoRR, 2025)

Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding. - Peng Fang 002; Zhenli Li; Arijit Khan 001; Siqiang Luo; Fang Wang 001; Zhan Shi 001; Dan Feng 001 (IEEE Trans. Knowl. Data Eng., 2025)

Guest Editorial: Special issue on "Neuro-Symbolic Intelligence: large Language Model enabled Knowledge Engineering". - Haofen Wang; Arijit Khan 001; Jun Liu 002; Michael Witbrock (World Wide Web (WWW), 2025)

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. - Feiyang Li; Peng Fang 002; Zhan Shi 001; Arijit Khan 001; Fang Wang 001; Dan Feng 001; Weihao Wang; Xin Zhang; Yong Cui 001 (CoRR, 2025)

Generating Skyline Explanations for Graph Neural Networks. - Dazhuo Qiu; Haolai Che; Arijit Khan 001; Yinghui Wu 001 (CoRR, 2025)

Finding Counterfactual Evidences for Node Classification. - Dazhuo Qiu; Jinwen Chen; Arijit Khan 001; Yan Zhao 008; Francesco Bonchi (CoRR, 2025)

Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. - Chuangtao Ma; Yongrui Chen 002; Tianxing Wu 001; Arijit Khan 001; Haofen Wang (CoRR, 2025)

In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration. - Jiajie Fu; Haitong Tang; Arijit Khan 001; Sharad Mehrotra; Xiangyu Ke; Yunjun Gao (CoRR, 2025)

SliceGX: Layer-wise GNN Explanation with Model-slicing. - Tingting Zhu; Tingyang Chen; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke (CoRR, 2025)

Graph Data Management and Graph Machine Learning: Synergies and Opportunities. - Arijit Khan 001; Xiangyu Ke; Yinghui Wu 001 (SIGMOD Rec., 2025)

LLM+KG@VLDB 24 Workshop Summary. - Arijit Khan 001; Tianxing Wu 001; Xi Chen 003 (SIGMOD Rec., 2025)

NAEx: A Plug-and-Play Framework for Explaining Network Alignment. - Shruti Saxena; Arijit Khan 001; Joydeep Chandra (CoRR, 2025)

Beyond influence: voting theory for opinion maximization. - Arkaprava Saha; Xiangyu Ke; Arijit Khan 001; Laks V. S. Lakshmanan (VLDB J., 2025)