Arijit Khan

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 79

Top Topics

Entity Resolution

Influence Maximization

Top Venues

Proc. VLDB Endow.

Publications

Poupak Azad, Cuneyt Gurcan Akcora, Arijit Khan
Machine Learning for Blockchain Data Analysis: Progress and Opportunities. CoRR (2024)
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
View-based Explanations for Graph Neural Networks. CoRR (2024)
Jason Zhu, Arijit Khan, Cuneyt Gurcan Akcora
Data depth and core-based trend detection on blockchain transaction networks. Frontiers Blockchain 7 (2024)
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)
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
View-based Explanations for Graph Neural Networks (Extended Abstract). ICDEW (2024)
Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu
Generating Robust Counterfactual Witnesses for Graph Neural Networks. CoRR (2024)
Arijit Khan
Synergies Between Graph Data Management and Machine Learning in Graph Data Pipeline. ICDE (2024)
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) (2024)
Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu
Generating Robust Counterfactual Witnesses for Graph Neural Networks. ICDE (2024)
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. 46 (4) (2023)
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) (2023)
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
Most Probable Densest Subgraphs. ICDE (2023)
Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh
Neighborhood-based Hypergraph Core Decomposition. CoRR (2023)
Jason Zhu, Arijit Khan, Cuneyt Gurcan Akcora
Core-based Trend Detection in Blockchain Networks. CoRR (2023)
Arijit Khan
Knowledge Graphs Querying. SIGMOD Rec. 52 (2) (2023)
Arijit Khan, Ehsan Bonabi Mobaraki
Interpretability Methods for Graph Neural Networks. DSAA (2023)
Arijit Khan
Knowledge Graphs Querying. CoRR (2023)
Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh
Neighborhood-based Hypergraph Core Decomposition. Proc. VLDB Endow. 16 (9) (2023)
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 (2023)
Ehsan Bonabi Mobaraki, Arijit Khan
A Demonstration of Interpretability Methods for Graph Neural Networks. GRADES-NDA@SIGMOD (2023)
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
Voting-based Opinion Maximization. ICDE (2023)
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
Most Probable Densest Subgraphs. CoRR (2022)
Voon Hou Su, Sourav Sen Gupta, Arijit Khan
Automating ETL and Mining of Ethereum Blockchain Network. WSDM (2022)
Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
Voting-based Opinion Maximization. CoRR (2022)
Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu
Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. CoRR (2022)
Xiangyu Ke, Arijit Khan, Francesco Bonchi
Multi-relation Graph Summarization. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Tianxing Wu, Arijit Khan, Melvin Yong, Guilin Qi, Meng Wang
Efficiently embedding dynamic knowledge graphs. Knowl. Based Syst. 250 (2022)
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)
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)
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)
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
Reliability Maximization in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Arijit Khan
Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work. Blockchain (2022)
Lin Zhao, Arijit Khan, Robby Luo
ShaderNet: graph-based shader code analysis to accelerate GPU's performance improvement. GRADES-NDA@SIGMOD (2022)
Arijit Khan, Cuneyt Gurcan Akcora
Graph-based Management and Mining of Blockchain Data. CIKM (2022)
Luo Fei, Tianxing Wu, Arijit Khan
Online Updates of Knowledge Graph Embedding. COMPLEX NETWORKS (2021)
Arkaprava Saha, Ruben Brokkelkamp, Yllka Velaj, Arijit Khan, Francesco Bonchi
Shortest Paths and Centrality in Uncertain Networks. Proc. VLDB Endow. 14 (7) (2021)
Xiangyu Ke, Arijit Khan, Francesco Bonchi
Multi-relation Graph Summarization. CoRR (2021)
Lin Zhao, Sourav Sen Gupta, Arijit Khan, Robby Luo
Temporal Analysis of the Entire Ethereum Blockchain Network. WWW (2021)
Jhalak Gupta, Arijit Khan
Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity. IEEE BigData (2021)
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
Reliability Maximization in Uncertain Graphs (Extended Abstract). ICDE (2021)
Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract). ICDE (2020)
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)
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)
Kenneth Teo Tian Shun, Eko Edita Limanta, Arijit Khan
An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning. IEEE BigData (2020)
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)
Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks. IEEE Trans. Knowl. Data Eng. 32 (5) (2020)
Arneish Prateek, Arijit Khan, Akshit Goyal, Sayan Ranu
Mining Top-k Pairs of Correlated Subgraphs in a Large Network. Proc. VLDB Endow. 13 (9) (2020)
Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. CoRR (2019)
Tianxing Wu, Arijit Khan, Huan Gao, Cheng Li
Efficiently Embedding Dynamic Knowledge Graphs. CoRR (2019)
Kaivalya Rawal, Arijit Khan
Maximizing Contrasting Opinions in Signed Social Networks. IEEE BigData (2019)
Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan
An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. CoRR (2019)
Francesco Bonchi, Arijit Khan, Lorenzo Severini
Distance-generalized Core Decomposition. SIGMOD Conference (2019)
Francesco Bonchi, Arijit Khan, Lorenzo Severini
Distance-generalized Core Decomposition. CoRR (2019)
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
Budgeted Reliability Maximization in Uncertain Graphs. CoRR (2019)
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) (2019)
Kaivalya Rawal, Arijit Khan
Maximizing Contrasting Opinions in Signed Social Networks. CoRR (2019)
Arijit Khan, Gustavo Segovia, Donald Kossmann
On Smart Query Routing: For Distributed Graph Querying with Decoupled Storage. USENIX Annual Technical Conference (2018)
Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer
Conditional Reliability in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 30 (11) (2018)
Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee
Inf2vec: Latent Representation Model for Social Influence Embedding. ICDE (2018)
Xiangyu Ke, Michelle Teo, Arijit Khan, Vijaya Krishna Yalavarthi
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors. Proc. VLDB Endow. 11 (12) (2018)
Siyuan Liu, Arijit Khan
An Empirical Analysis on Expressibility of Vertex Centric Graph Processing Paradigm. IEEE BigData (2018)
Vijaya Krishna Yalavarthi, Arijit Khan
Steering Top-k Influencers in Dynamic Graphs via Local Updates. IEEE BigData (2018)
Arijit Khan, Sixing Yan
Composite Hashing for Data Stream Sketches. CoRR (2018)
Vijaya Krishna Yalavarthi, Arijit Khan
Fast Influence Maximization in Dynamic Graphs: A Local Updating Approach. CoRR (2018)
Xiangyu Ke, Arijit Khan, Gao Cong
Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. SIGMOD Conference (2018)
Arijit Khan, Sourav S. Bhowmick, Francesco Bonchi
Summarizing Static and Dynamic Big Graphs. Proc. VLDB Endow. 10 (12) (2017)
Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan
Probabilistic Entity Resolution with Imperfect Crowd. CoRR (2017)
Arijit Khan
Vertex-Centric Graph Processing: Good, Bad, and the Ugly. EDBT (2017)
Arijit Khan, Charu C. Aggarwal
Toward query-friendly compression of rapid graph streams. Soc. Netw. Anal. Min. 7 (1) (2017)
Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan
Select Your Questions Wisely: For Entity Resolution With Crowd Errors. CIKM (2017)
Arijit Khan, Charu C. Aggarwal
Query-friendly compression of graph streams. ASONAM (2016)
Arijit Khan, Benjamin Zehnder, Donald Kossmann
Revenue maximization by viral marketing: A social network host's perspective. ICDE (2016)
Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
Querying knowledge Graphs By Example entity tuples. ICDE (2016)
Pratanu Roy, Arijit Khan, Gustavo Alonso
Augmented Sketch: Faster and More Accurate Stream Processing. SIGMOD Conference (2016)
Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer
Conditional Reliability in Uncertain Graphs. CoRR (2016)
Arijit Khan
Vertex-Centric Graph Processing: The Good, the Bad, and the Ugly. CoRR (2016)
Arijit Khan, Gustavo Segovia, Donald Kossmann
Let's Do Smart Routing: For Distributed Graph Querying with Decoupled Storage. CoRR (2016)
Arijit Khan
Towards Time-Discounted Influence Maximization. CIKM (2016)
Arijit Khan
Towards Querying Uncertain Graphs. COMAD (2016)
Arijit Khan, Francesco Gullo, Thomas Wohler, Francesco Bonchi
Top-k Reliable Edge Colors in Uncertain Graphs. CIKM (2015)
Arijit Khan, Vishwakarma Singh
Top-k representative queries with binary constraints. SSDBM (2015)
Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
Querying Knowledge Graphs by Example Entity Tuples. IEEE Trans. Knowl. Data Eng. 27 (10) (2015)
Arijit Khan, Lei Chen
On Uncertain Graphs Modeling and Queries. Proc. VLDB Endow. 8 (12) (2015)
Arijit Khan, Francesco Bonchi, Aristides Gionis, Francesco Gullo
Fast Reliability Search in Uncertain Graphs. EDBT (2014)
Nandish Jayaram, Mahesh Gupta, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
GQBE: Querying knowledge graphs by example entity tuples. ICDE (2014)
Arijit Khan, Sameh Elnikety
Systems for Big-Graphs. Proc. VLDB Endow. 7 (13) (2014)
Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
Towards a Query-by-Example System for Knowledge Graphs. GRADES (2014)
Arijit Khan, Pouya Yanki, Bojana Dimcheva, Donald Kossmann
Towards indexing functions: answering scalar product queries. SIGMOD Conference (2014)
Arijit Khan, Yinghui Wu, Charu C. Aggarwal, Xifeng Yan
NeMa: Fast Graph Search with Label Similarity. Proc. VLDB Endow. 6 (3) (2013)
Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
Querying Knowledge Graphs by Example Entity Tuples. CoRR (2013)
Arijit Khan, Vishwakarma Singh, Jian Wu
Finding Skyline Nodes in Large Networks. ICDE Workshops (2012)
Shengqi Yang, Xifeng Yan, Bo Zong, Arijit Khan
Towards effective partition management for large graphs. SIGMOD Conference (2012)
Arijit Khan, Xifeng Yan, Shu Tao, Nikos Anerousis
Workload characterization and prediction in the cloud: A multiple time series approach. NOMS (2012)
Nan Li, Xifeng Yan, Zhen Wen, Arijit Khan
Density index and proximity search in large graphs. CIKM (2012)
Arijit Khan, Yinghui Wu, Xifeng Yan
Emerging Graph Queries in Linked Data. ICDE (2012)
Charu C. Aggarwal, Arijit Khan, Xifeng Yan
On Flow Authority Discovery in Social Networks. SDM (2011)
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao
Neighborhood based fast graph search in large networks. SIGMOD Conference (2011)
Arijit Khan, Xifeng Yan, Kun-Lung Wu
Towards proximity pattern mining in large graphs. SIGMOD Conference (2010)
Arijit Khan, Lawrence Jenkins
Undersea wireless sensor network for ocean pollution prevention. COMSWARE (2008)