default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDArijit Khan 0001
Person information
- affiliation: Bowling Green State University, Bowling, Department of Computer Science, Green, OH, USA
- affiliation (former): Aalborg University, Denmark
- affiliation (former): Nanyang Technological University, Singapore
- affiliation (former): ETH Zurich, Switzerland
- affiliation (PhD): University of California Santa Barbara, CA, USA
Other persons with the same name
- Arijit Khan 0002
![[0000-0002-5234-7423]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5234-7423")
— Indian Institute of Technology, Kharagpur, Department of Mining Engineering, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2026
[j29]Poupak Azad, Cuneyt Gurcan Akcora, Arijit Khan:
Machine Learning for Blockchain Data Analysis: Progress and Opportunities. Distributed Ledger Technol. Res. Pract. 5(1): 10:1-10:27 (2026)- [c66]Arijit Khan, Xiangyu Ke, Yinghui Wu, Francesco Bonchi:
GNN Explainers 2.0: User-centric and Data-driven Insights. WSDM 2026: 1359-1362 - [e3]Renata Borovica-Gajic, Arijit Khan, Bolong Zheng, Xiaoyang Wang, Junhao Gan:
Databases Theory and Applications - 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, December 4-6, 2025, Proceedings. Lecture Notes in Computer Science 16391, Springer 2026, ISBN 978-981-95-6195-7 [contents] - [i40]Chuangtao Ma, Zeyu Zhang, Arijit Khan, Sebastian Schelter, Paul Groth:
Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Exploration. CoRR abs/2602.05708 (2026) - [i39]Yu Zhang, Sean Bin Yang, Arijit Khan, Cuneyt Gurcan Akcora:
ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks. CoRR abs/2602.06240 (2026) - 2025
- [j28]Jiajie Fu, Haitong Tang, Arijit Khan, Sharad Mehrotra, Xiangyu Ke, Yunjun Gao:
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration. Proc. ACM Manag. Data 3(4): 252:1-252:28 (2025) - [j27]Arijit Khan, Xiangyu Ke, Yinghui Wu:
Graph Data Management and Graph Machine Learning: Synergies and Opportunities. SIGMOD Rec. 54(2): 28-42 (2025) - [j26]Arijit Khan, Tianxing Wu, Xi Chen:
LLM+KG@VLDB 24 Workshop Summary. SIGMOD Rec. 54(2): 60-65 (2025) - [j25]Arijit Khan, Yuyu Luo, Wenjie Zhang, Minqi Zhou, Xiaofang Zhou:
Retrieval-augmented Generation (RAG): What is There for Data Management Researchers? A discussion on research from a panel at LLM+Vector Data Workshop @ IEEE ICDE 2025. SIGMOD Rec. 54(4): 33-42 (2025) - [j24]Peng Fang, Zhenli Li, Arijit Khan, Siqiang Luo, Fang Wang, Zhan Shi, Dan Feng:
Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding. IEEE Trans. Knowl. Data Eng. 37(1): 408-422 (2025) - [j23]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan:
Beyond influence: voting theory for opinion maximization. VLDB J. 34(5): 57 (2025) - [j22]Haofen Wang, Arijit Khan, Jun Liu, Michael Witbrock:
Guest Editorial: Special issue on "Neuro-Symbolic Intelligence: large Language Model enabled Knowledge Engineering". World Wide Web (WWW) 28(1): 14 (2025) - [c65]Sriom Chakrabarti, Chuangtao Ma, Arijit Khan, Sebastian Link:
SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. ADC 2025: 365-379 - [c64]Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang:
Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities. EDBT 2025: 1174-1177 - [c63]Feiyang Li, Peng Fang, Zhan Shi, Arijit Khan, Fang Wang Weihao Wang, Xin Zhang, Cui Yongjian:
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. EMNLP (Findings) 2025: 3119-3171 - [c62]Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang:
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. EMNLP 2025: 24578-24597 - [c61]Arijit Khan, Yuxiang Wang, Weixi Zhang, Yao Tian, M. Tamer Özsu:
LLM + Vector Data: Coupling of Large Language Models with Vector Data Management for Enhancing Data Science. ICDEW 2025: 93-96 - [c60]Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan:
Logical Consistency of Large Language Models in Fact-Checking. ICLR 2025 - [c59]Dazhuo Qiu, Jinwen Chen, Arijit Khan, Yan Zhao, Francesco Bonchi:
Finding Counterfactual Evidences for Node Classification. KDD (2) 2025: 2362-2373 - [i38]Chuangtao Ma, Sriom Chakrabarti, Arijit Khan, Bálint Molnár:
Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching. CoRR abs/2501.08686 (2025) - [i37]Arijit Khan, Xiangyu Ke, Yinghui Wu:
Graph Data Management and Graph Machine Learning: Synergies and Opportunities. CoRR abs/2502.00529 (2025) - [i36]Feiyang Li, Peng Fang, Zhan Shi, Arijit Khan, Fang Wang, Dan Feng, Weihao Wang, Xin Zhang, Yong Cui:
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. CoRR abs/2504.13534 (2025) - [i35]Dazhuo Qiu, Haolai Che, Arijit Khan, Yinghui Wu:
Generating Skyline Explanations for Graph Neural Networks. CoRR abs/2505.07635 (2025) - [i34]Dazhuo Qiu, Jinwen Chen, Arijit Khan, Yan Zhao, Francesco Bonchi:
Finding Counterfactual Evidences for Node Classification. CoRR abs/2505.11396 (2025) - [i33]Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang:
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. CoRR abs/2505.20099 (2025) - [i32]Jiajie Fu, Haitong Tang, Arijit Khan, Sharad Mehrotra, Xiangyu Ke, Yunjun Gao:
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration. CoRR abs/2506.02509 (2025) - [i31]Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke:
SliceGX: Layer-wise GNN Explanation with Model-slicing. CoRR abs/2506.17977 (2025) - [i30]Shruti Saxena, Arijit Khan, Joydeep Chandra:
NAEx: A Plug-and-Play Framework for Explaining Network Alignment. CoRR abs/2508.04731 (2025) - [i29]Yuanming Zhang, Yan Lin, Arijit Khan, Huaiyu Wan:
Large Language Model Prompt Datasets: An In-depth Analysis and Insights. CoRR abs/2510.09316 (2025) - [i28]Sriom Chakrabarti, Chuangtao Ma, Arijit Khan, Sebastian Link:
SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. CoRR abs/2511.13907 (2025) - 2024
- [j21]Jason Zhu, Arijit Khan, Cuneyt Gurcan Akcora:
Data depth and core-based trend detection on blockchain transaction networks. Frontiers Blockchain 7 (2024) - [j20]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks. Proc. ACM Manag. Data 2(1): 40:1-40:27 (2024) - [c58]Edlira Vakaj, Nandana Mihindukulasooriya, Manas Gaur, Arijit Khan:
Knowledge Graphs for Responsible AI. CIKM 2024: 5596-5598 - [c57]Naheed Anjum Arafat, Ehsan Bonabi Mobaraki, Arijit Khan, Yllka Velaj, Francesco Bonchi:
Estimate and Reduce Uncertainty in Uncertain Graphs. DSAA 2024: 1-12 - [c56]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks (Extended Abstract). ICDEW 2024: 1-2 - [c55]Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu:
Generating Robust Counterfactual Witnesses for Graph Neural Networks. ICDE 2024: 3351-3363 - [c54]Arijit Khan:
Synergies Between Graph Data Management and Machine Learning in Graph Data Pipeline. ICDE 2024: 5655-5656 - [c53]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views. SIGMOD Conference Companion 2024: 512-515 - [c52]Arijit Khan, Tianxing Wu, Xi Chen:
LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs. VLDB Workshops 2024 - [c51]Arijit Khan:
Data Management and AI for Blockchain Data Analysis: A Round Trip and Opportunities. VLDB Workshops 2024 - [i27]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks. CoRR abs/2401.02086 (2024) - [i26]Poupak Azad, Cuneyt Gurcan Akcora, Arijit Khan:
Machine Learning for Blockchain Data Analysis: Progress and Opportunities. CoRR abs/2404.18251 (2024) - [i25]Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu:
Generating Robust Counterfactual Witnesses for Graph Neural Networks. CoRR abs/2404.19519 (2024) - [i24]Arijit Khan, Tianxing Wu, Xi Chen:
LLM+KG@VLDB'24 Workshop Summary. CoRR abs/2410.01978 (2024) - [i23]Hadi Mehdizavareh, Arijit Khan, Simon Lebech Cichosz:
Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation. CoRR abs/2411.01418 (2024) - [i22]Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan:
Logical Consistency of Large Language Models in Fact-checking. CoRR abs/2412.16100 (2024) - 2023
- [j19]Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu:
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 47(4): 4-17 (2023) - [j18]Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao:
Distributed Graph Embedding with Information-Oriented Random Walks. Proc. VLDB Endow. 16(7): 1643-1656 (2023) - [j17]Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh:
Neighborhood-based Hypergraph Core Decomposition. Proc. VLDB Endow. 16(9): 2061-2074 (2023) - [j16]Arijit Khan:
Knowledge Graphs Querying. SIGMOD Rec. 52(2): 18-29 (2023) - [c50]Arijit Khan, Ehsan Bonabi Mobaraki:
Interpretability Methods for Graph Neural Networks. DSAA 2023: 1-4 - [c49]Ehsan Bonabi Mobaraki, Arijit Khan:
A Demonstration of Interpretability Methods for Graph Neural Networks. GRADES-NDA@SIGMOD 2023: 9:1-9:5 - [c48]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan:
Voting-based Opinion Maximization. ICDE 2023: 544-557 - [c47]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long:
Most Probable Densest Subgraphs. ICDE 2023: 1447-1460 - [i21]Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh:
Neighborhood-based Hypergraph Core Decomposition. CoRR abs/2301.06426 (2023) - [i20]Jason Zhu, Arijit Khan, Cuneyt Gurcan Akcora:
Core-based Trend Detection in Blockchain Networks. CoRR abs/2303.14241 (2023) - [i19]Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao:
Distributed Graph Embedding with Information-Oriented Random Walks. CoRR abs/2303.15702 (2023) - [i18]Arijit Khan:
Knowledge Graphs Querying. CoRR abs/2305.14485 (2023) - 2022
- [j15]Tianxing Wu, Arijit Khan, Melvin Yong, Guilin Qi, Meng Wang:
Efficiently embedding dynamic knowledge graphs. Knowl. Based Syst. 250: 109124 (2022) - [j14]Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. ACM Trans. Knowl. Discov. Data 16(5): 82:1-82:30 (2022) - [j13]Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Reliability Maximization in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 34(2): 894-913 (2022) - [c46]Arijit Khan:
Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work. Blockchain 2022: 250-257 - [c45]Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Shuzhan Ye, Shihuang Pan, Yuhan Zhou:
Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration. CIKM 2022: 5034-5038 - [c44]Arijit Khan, Cuneyt Gurcan Akcora:
Graph-based Management and Mining of Blockchain Data. CIKM 2022: 5140-5143 - [c43]Lin Zhao, Arijit Khan, Robby Luo, Chai Kiat Yeo:
Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning. COMPLEX NETWORKS (1) 2022: 426-439 - [c42]Lin Zhao, Arijit Khan, Robby Luo:
ShaderNet: graph-based shader code analysis to accelerate GPU's performance improvement. GRADES-NDA@SIGMOD 2022: 3:1-3:5 - [c41]Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu:
Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. ICDE 2022: 2914-2927 - [c40]Voon Hou Su, Sourav Sen Gupta, Arijit Khan:
Automating ETL and Mining of Ethereum Blockchain Network. WSDM 2022: 1581-1584 - [i17]Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu:
Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. CoRR abs/2203.03792 (2022) - [i16]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan:
Voting-based Opinion Maximization. CoRR abs/2209.06756 (2022) - [i15]Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long:
Most Probable Densest Subgraphs. CoRR abs/2212.08820 (2022) - 2021
- [j12]Arkaprava Saha, Ruben Brokkelkamp, Yllka Velaj, Arijit Khan, Francesco Bonchi:
Shortest Paths and Centrality in Uncertain Networks. Proc. VLDB Endow. 14(7): 1188-1201 (2021) - [c39]Jhalak Gupta, Arijit Khan:
Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity. IEEE BigData 2021: 5133-5142 - [c38]Luo Fei, Tianxing Wu, Arijit Khan:
Online Updates of Knowledge Graph Embedding. COMPLEX NETWORKS 2021: 523-535 - [c37]Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Reliability Maximization in Uncertain Graphs (Extended Abstract). ICDE 2021: 2332-2333 - [c36]Lin Zhao, Sourav Sen Gupta, Arijit Khan, Robby Luo:
Temporal Analysis of the Entire Ethereum Blockchain Network. WWW 2021: 2258-2269 - [i14]Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. CoRR abs/2112.15488 (2021) - 2020
- [j11]Arneish Prateek, Arijit Khan, Akshit Goyal, Sayan Ranu:
Mining Top-k Pairs of Correlated Subgraphs in a Large Network. Proc. VLDB Endow. 13(9): 1511-1524 (2020) - [j10]Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan:
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks. IEEE Trans. Knowl. Data Eng. 32(5): 983-997 (2020) - [c35]Kenneth Teo Tian Shun, Eko Edita Limanta, Arijit Khan:
An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning. IEEE BigData 2020: 561-570 - [c34]Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan:
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. ICDE 2020: 445-456 - [c33]Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan:
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract). ICDE 2020: 2036-2037 - [c32]Junghoon Kim, Tao Guo, Kaiyu Feng, Gao Cong, Arijit Khan, Farhana Murtaza Choudhury:
Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. SIGMOD Conference 2020: 2199-2209 - [c31]Xi Tong Lee, Arijit Khan, Sourav Sen Gupta, Yu Hann Ong, Xuan Liu:
Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network. WWW 2020: 155-166 - [e2]Angela Bonifati, Yongluan Zhou, Marcos Antonio Vaz Salles, Alexander Böhm, Dan Olteanu, George H. L. Fletcher, Arijit Khan, Bin Yang:
Proceedings of the 23rd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020. OpenProceedings.org 2020, ISBN 978-3-89318-083-7 [contents]
2010 – 2019
- 2019
- [j9]Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan:
An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. Proc. VLDB Endow. 12(8): 864-876 (2019) - [c30]Kaivalya Rawal, Arijit Khan:
Maximizing Contrasting Opinions in Signed Social Networks. IEEE BigData 2019: 1203-1210 - [c29]Francesco Bonchi, Arijit Khan, Lorenzo Severini:
Distance-generalized Core Decomposition. SIGMOD Conference 2019: 1006-1023 - [r1]Yinghui Wu, Arijit Khan:
Graph Pattern Matching. Encyclopedia of Big Data Technologies 2019 - [i13]Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Budgeted Reliability Maximization in Uncertain Graphs. CoRR abs/1903.08587 (2019) - [i12]Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan:
An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. CoRR abs/1904.05300 (2019) - [i11]Francesco Bonchi, Arijit Khan, Lorenzo Severini:
Distance-generalized Core Decomposition. CoRR abs/1904.07262 (2019) - [i10]Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan:
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. CoRR abs/1910.06584 (2019) - [i9]Tianxing Wu, Arijit Khan, Huan Gao, Cheng Li:
Efficiently Embedding Dynamic Knowledge Graphs. CoRR abs/1910.06708 (2019) - [i8]Kaivalya Rawal, Arijit Khan:
Maximizing Contrasting Opinions in Signed Social Networks. CoRR abs/1910.12017 (2019) - 2018
- [b1]Arijit Khan, Ye Yuan, Lei Chen:
On Uncertain Graphs. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00732-3 - [j8]Xiangyu Ke, Michelle Teo, Arijit Khan, Vijaya Krishna Yalavarthi:
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors. Proc. VLDB Endow. 11(12): 1922-1925 (2018) - [j7]Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer:
Conditional Reliability in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 30(11): 2078-2092 (2018) - [c28]Siyuan Liu, Arijit Khan:
An Empirical Analysis on Expressibility of Vertex Centric Graph Processing Paradigm. IEEE BigData 2018: 242-251 - [c27]Vijaya Krishna Yalavarthi, Arijit Khan:
Steering Top-k Influencers in Dynamic Graphs via Local Updates. IEEE BigData 2018: 576-583 - [c26]Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee:
Inf2vec: Latent Representation Model for Social Influence Embedding. ICDE 2018: 941-952 - [c25]Xiangyu Ke, Arijit Khan, Gao Cong:
Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. SIGMOD Conference 2018: 1097-1111 - [c24]Arijit Khan, Gustavo Segovia, Donald Kossmann:
On Smart Query Routing: For Distributed Graph Querying with Decoupled Storage. USENIX ATC 2018: 401-412 - [i7]Vijaya Krishna Yalavarthi, Arijit Khan:
Fast Influence Maximization in Dynamic Graphs: A Local Updating Approach. CoRR abs/1802.00574 (2018) - [i6]Arijit Khan, Sixing Yan:
Composite Hashing for Data Stream Sketches. CoRR abs/1808.06800 (2018) - 2017
- [j6]Arijit Khan, Sourav S. Bhowmick, Francesco Bonchi:
Summarizing Static and Dynamic Big Graphs. Proc. VLDB Endow. 10(12): 1981-1984 (2017) - [j5]Arijit Khan, Charu C. Aggarwal:
Toward query-friendly compression of rapid graph streams. Soc. Netw. Anal. Min. 7(1): 23:1-23:19 (2017) - [c23]Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan:
Select Your Questions Wisely: For Entity Resolution With Crowd Errors. CIKM 2017: 317-326 - [c22]Arijit Khan:
Vertex-Centric Graph Processing: Good, Bad, and the Ugly. EDBT 2017: 438-441 - [p1]Arijit Khan, Sayan Ranu:
Big-Graphs: Querying, Mining, and Beyond. Handbook of Big Data Technologies 2017: 531-582 - [i5]Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan:
Probabilistic Entity Resolution with Imperfect Crowd. CoRR abs/1701.08288 (2017) - 2016
- [c21]Arijit Khan, Charu C. Aggarwal:
Query-friendly compression of graph streams. ASONAM 2016: 130-137 - [c20]Arijit Khan:
Towards Time-Discounted Influence Maximization. CIKM 2016: 1873-1876 - [c19]Arijit Khan:
Towards Querying Uncertain Graphs. COMAD 2016 - [c18]Arijit Khan, Benjamin Zehnder, Donald Kossmann:
Revenue maximization by viral marketing: A social network host's perspective. ICDE 2016: 37-48 - [c17]Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
Querying knowledge Graphs By Example entity tuples. ICDE 2016: 1494-1495 - [c16]Pratanu Roy, Arijit Khan, Gustavo Alonso:
Augmented Sketch: Faster and More Accurate Stream Processing. SIGMOD Conference 2016: 1449-1463 - [e1]Fusheng Wang, Gang Luo, Chunhua Weng, Arijit Khan, Prasenjit Mitra, Cong Yu:
Biomedical Data Management and Graph Online Querying - VLDB 2015 Workshops, Big-O(Q) and DMAH, Waikoloa, HI, USA, August 31 - September 4, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9579, Springer 2016, ISBN 978-3-319-41575-8 [contents] - [i4]Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer:
Conditional Reliability in Uncertain Graphs. CoRR abs/1608.04474 (2016) - [i3]Arijit Khan, Gustavo Segovia, Donald Kossmann:
Let's Do Smart Routing: For Distributed Graph Querying with Decoupled Storage. CoRR abs/1611.03959 (2016) - [i2]Arijit Khan:
Vertex-Centric Graph Processing: The Good, the Bad, and the Ugly. CoRR abs/1612.07404 (2016) - 2015
- [j4]Arijit Khan, Lei Chen:
On Uncertain Graphs Modeling and Queries. Proc. VLDB Endow. 8(12): 2042-2043 (2015) - [j3]Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
Querying Knowledge Graphs by Example Entity Tuples. IEEE Trans. Knowl. Data Eng. 27(10): 2797-2811 (2015) - [c15]Arijit Khan, Francesco Gullo, Thomas Wohler, Francesco Bonchi:
Top-k Reliable Edge Colors in Uncertain Graphs. CIKM 2015: 1851-1854 - [c14]Arijit Khan, Vishwakarma Singh:
Top-k representative queries with binary constraints. SSDBM 2015: 13:1-13:10 - 2014
- [j2]Arijit Khan, Sameh Elnikety:
Systems for Big-Graphs. Proc. VLDB Endow. 7(13): 1709-1710 (2014) - [c13]Arijit Khan, Francesco Bonchi, Aristides Gionis, Francesco Gullo:
Fast Reliability Search in Uncertain Graphs. EDBT 2014: 535-546 - [c12]Nandish Jayaram, Mahesh Gupta, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
GQBE: Querying knowledge graphs by example entity tuples. ICDE 2014: 1250-1253 - [c11]Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
Towards a Query-by-Example System for Knowledge Graphs. GRADES 2014: 11:1-11:6 - [c10]Arijit Khan, Pouya Yanki, Bojana Dimcheva, Donald Kossmann:
Towards indexing functions: answering scalar product queries. SIGMOD Conference 2014: 241-252 - 2013
- [j1]Arijit Khan, Yinghui Wu, Charu C. Aggarwal, Xifeng Yan:
NeMa: Fast Graph Search with Label Similarity. Proc. VLDB Endow. 6(3): 181-192 (2013) - [i1]Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
Querying Knowledge Graphs by Example Entity Tuples. CoRR abs/1311.2100 (2013) - 2012
- [c9]Nan Li, Xifeng Yan, Zhen Wen, Arijit Khan:
Density index and proximity search in large graphs. CIKM 2012: 235-244 - [c8]Arijit Khan, Vishwakarma Singh, Jian Wu:
Finding Skyline Nodes in Large Networks. ICDE Workshops 2012: 198-204 - [c7]Arijit Khan, Yinghui Wu, Xifeng Yan:
Emerging Graph Queries in Linked Data. ICDE 2012: 1218-1221 - [c6]Arijit Khan, Xifeng Yan, Shu Tao, Nikos Anerousis:
Workload characterization and prediction in the cloud: A multiple time series approach. NOMS 2012: 1287-1294 - [c5]Shengqi Yang, Xifeng Yan, Bo Zong, Arijit Khan:
Towards effective partition management for large graphs. SIGMOD Conference 2012: 517-528 - 2011
- [c4]Charu C. Aggarwal, Arijit Khan, Xifeng Yan:
On Flow Authority Discovery in Social Networks. SDM 2011: 522-533 - [c3]Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao:
Neighborhood based fast graph search in large networks. SIGMOD Conference 2011: 901-912 - 2010
- [c2]Arijit Khan, Xifeng Yan, Kun-Lung Wu:
Towards proximity pattern mining in large graphs. SIGMOD Conference 2010: 867-878
2000 – 2009
- 2008
- [c1]Arijit Khan, Lawrence Jenkins:
Undersea wireless sensor network for ocean pollution prevention. COMSWARE 2008: 2-8
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-03-26 01:05 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
