Arijit Khan - RankMe

143 papers A* 18A 10B 9Misc 3Journal 70Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks. CoRR Yu Zhang, Sean Bin Yang, Arijit Khan, Cuneyt Gurcan Akcora
2026	J	`jnl`	Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Exploration. CoRR Chuangtao Ma, Zeyu Zhang, Arijit Khan, Sebastian Schelter, Paul Groth
2026	Misc	`ed.`	Databases Theory and Applications - 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, December 4-6, 2025, Proceedings ADC Renata Borovica-Gajic, Arijit Khan, Bolong Zheng, Xiaoyang Wang, Junhao Gan
2026	A	`conf`	GNN Explainers 2.0: User-centric and Data-driven Insights. WSDM Arijit Khan, Xiangyu Ke, Yinghui Wu, Francesco Bonchi
2026	J	`jnl`	Machine Learning for Blockchain Data Analysis: Progress and Opportunities. Distributed Ledger Technol. Res. Pract. Poupak Azad, Cuneyt Gurcan Akcora, Arijit Khan
2026	A*	`conf`	SliceGX: Layer-wise GNN Explanation with Model-slicing. WWW Cibo Yu, Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke
2026	J	`jnl`	Tipping the Balance: Impact of Class Imbalance Correction on the Performance of Clinical Risk Prediction Models. CoRR Amalie Koch Andersen, Hadi Mehdizavareh, Arijit Khan, Tobias Becher, Simone Britsch, Markward Britsch, Morten Bøttcher, Simon Winther, Palle Duun Rohde, Morten Hasselstrøm Jensen, Simon Lebech Cichosz
2025	J	`jnl`	Beyond influence: voting theory for opinion maximization. VLDB J. Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
2025	—	`conf`	CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. EMNLP (Findings) Feiyang Li, Peng Fang, Zhan Shi, Arijit Khan, Fang Wang Weihao Wang, Xin Zhang, Cui Yongjian
2025	J	`jnl`	CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. CoRR Feiyang Li, Peng Fang, Zhan Shi, Arijit Khan, Fang Wang, Dan Feng, Weihao Wang, Xin Zhang, Yong Cui
2025	—	`conf`	Finding Counterfactual Evidences for Node Classification. KDD (2) Dazhuo Qiu, Jinwen Chen, Arijit Khan, Yan Zhao, Francesco Bonchi
2025	J	`jnl`	Finding Counterfactual Evidences for Node Classification. CoRR Dazhuo Qiu, Jinwen Chen, Arijit Khan, Yan Zhao, Francesco Bonchi
2025	J	`jnl`	Generating Skyline Explanations for Graph Neural Networks. CoRR Dazhuo Qiu, Haolai Che, Arijit Khan, Yinghui Wu
2025	J	`jnl`	Graph Data Management and Graph Machine Learning: Synergies and Opportunities. CoRR Arijit Khan, Xiangyu Ke, Yinghui Wu
2025	J	`jnl`	Graph Data Management and Graph Machine Learning: Synergies and Opportunities. SIGMOD Rec. Arijit Khan, Xiangyu Ke, Yinghui Wu
2025	J	`jnl`	Guest Editorial: Special issue on "Neuro-Symbolic Intelligence: large Language Model enabled Knowledge Engineering". World Wide Web (WWW) Haofen Wang, Arijit Khan, Jun Liu, Michael Witbrock
2025	J	`jnl`	In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration. CoRR Jiajie Fu, Haitong Tang, Arijit Khan, Sharad Mehrotra, Xiangyu Ke, Yunjun Gao
2025	J	`jnl`	In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration. Proc. ACM Manag. Data Jiajie Fu, Haitong Tang, Arijit Khan, Sharad Mehrotra, Xiangyu Ke, Yunjun Gao
2025	J	`jnl`	Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding. IEEE Trans. Knowl. Data Eng. Peng Fang, Zhenli Li, Arijit Khan, Siqiang Luo, Fang Wang, Zhan Shi, Dan Feng
2025	J	`jnl`	Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching. CoRR Chuangtao Ma, Sriom Chakrabarti, Arijit Khan, Bálint Molnár
2025	—	`conf`	LLM + Vector Data: Coupling of Large Language Models with Vector Data Management for Enhancing Data Science. ICDEW Arijit Khan, Yuxiang Wang, Weixi Zhang, Yao Tian, M. Tamer Özsu
2025	J	`jnl`	LLM+KG@VLDB 24 Workshop Summary. SIGMOD Rec. Arijit Khan, Tianxing Wu, Xi Chen
2025	J	`jnl`	Large Language Model Prompt Datasets: An In-depth Analysis and Insights. CoRR Yuanming Zhang, Yan Lin, Arijit Khan, Huaiyu Wan
2025	A*	`conf`	Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. EMNLP Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang
2025	J	`jnl`	Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. CoRR Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang
2025	A*	`conf`	Logical Consistency of Large Language Models in Fact-Checking. ICLR Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan
2025	J	`jnl`	NAEx: A Plug-and-Play Framework for Explaining Network Alignment. CoRR Shruti Saxena, Arijit Khan, Joydeep Chandra
2025	J	`jnl`	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. Arijit Khan, Yuyu Luo, Wenjie Zhang, Minqi Zhou, Xiaofang Zhou
2025	Misc	`conf`	SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. ADC Sriom Chakrabarti, Chuangtao Ma, Arijit Khan, Sebastian Link
2025	J	`jnl`	SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. CoRR Sriom Chakrabarti, Chuangtao Ma, Arijit Khan, Sebastian Link
2025	J	`jnl`	SliceGX: Layer-wise GNN Explanation with Model-slicing. CoRR Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke
2025	B	`conf`	Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities. EDBT Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang
2024	—	`conf`	Data Management and AI for Blockchain Data Analysis: A Round Trip and Opportunities. VLDB Workshops Arijit Khan
2024	J	`jnl`	Data depth and core-based trend detection on blockchain transaction networks. Frontiers Blockchain Jason Zhu, Arijit Khan, Cuneyt Gurcan Akcora
2024	J	`jnl`	Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation. CoRR Hadi Mehdizavareh, Arijit Khan, Simon Lebech Cichosz
2024	B	`conf`	Estimate and Reduce Uncertainty in Uncertain Graphs. DSAA Naheed Anjum Arafat, Ehsan Bonabi Mobaraki, Arijit Khan, Yllka Velaj, Francesco Bonchi
2024	A*	`conf`	Generating Robust Counterfactual Witnesses for Graph Neural Networks. ICDE Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu
2024	J	`jnl`	Generating Robust Counterfactual Witnesses for Graph Neural Networks. CoRR Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu
2024	A	`conf`	Knowledge Graphs for Responsible AI. CIKM Edlira Vakaj, Nandana Mihindukulasooriya, Manas Gaur, Arijit Khan
2024	—	`conf`	LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs. VLDB Workshops Arijit Khan, Tianxing Wu, Xi Chen
2024	J	`jnl`	LLM+KG@VLDB'24 Workshop Summary. CoRR Arijit Khan, Tianxing Wu, Xi Chen
2024	J	`jnl`	Logical Consistency of Large Language Models in Fact-checking. CoRR Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan
2024	J	`jnl`	Machine Learning for Blockchain Data Analysis: Progress and Opportunities. CoRR Poupak Azad, Cuneyt Gurcan Akcora, Arijit Khan
2024	A*	`conf`	Synergies Between Graph Data Management and Machine Learning in Graph Data Pipeline. ICDE Arijit Khan
2024	—	`conf`	User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views. SIGMOD Conference Companion Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2024	—	`conf`	View-based Explanations for Graph Neural Networks (Extended Abstract). ICDEW Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2024	J	`jnl`	View-based Explanations for Graph Neural Networks. CoRR Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2024	J	`jnl`	View-based Explanations for Graph Neural Networks. Proc. ACM Manag. Data Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2023	—	`conf`	A Demonstration of Interpretability Methods for Graph Neural Networks. GRADES-NDA@SIGMOD Ehsan Bonabi Mobaraki, Arijit Khan
2023	J	`jnl`	A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 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
2023	J	`jnl`	Core-based Trend Detection in Blockchain Networks. CoRR Jason Zhu, Arijit Khan, Cuneyt Gurcan Akcora
2023	J	`jnl`	Distributed Graph Embedding with Information-Oriented Random Walks. CoRR Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao
2023	J	`jnl`	Distributed Graph Embedding with Information-Oriented Random Walks. Proc. VLDB Endow. Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao
2023	B	`conf`	Interpretability Methods for Graph Neural Networks. DSAA Arijit Khan, Ehsan Bonabi Mobaraki
2023	J	`jnl`	Knowledge Graphs Querying. CoRR Arijit Khan
2023	J	`jnl`	Knowledge Graphs Querying. SIGMOD Rec. Arijit Khan
2023	A*	`conf`	Most Probable Densest Subgraphs. ICDE Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
2023	J	`jnl`	Neighborhood-based Hypergraph Core Decomposition. CoRR Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh
2023	J	`jnl`	Neighborhood-based Hypergraph Core Decomposition. Proc. VLDB Endow. Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh
2023	A*	`conf`	Voting-based Opinion Maximization. ICDE Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
2022	A*	`conf`	Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. ICDE Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu
2022	J	`jnl`	Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. CoRR Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu
2022	A	`conf`	Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration. CIKM Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Shuzhan Ye, Shihuang Pan, Yuhan Zhou
2022	A	`conf`	Automating ETL and Mining of Ethereum Blockchain Network. WSDM Voon Hou Su, Sourav Sen Gupta, Arijit Khan
2022	J	`jnl`	Efficiently embedding dynamic knowledge graphs. Knowl. Based Syst. Tianxing Wu, Arijit Khan, Melvin Yong, Guilin Qi, Meng Wang
2022	—	`conf`	Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work. Blockchain Arijit Khan
2022	—	`conf`	Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning. COMPLEX NETWORKS (1) Lin Zhao, Arijit Khan, Robby Luo, Chai Kiat Yeo
2022	A	`conf`	Graph-based Management and Mining of Blockchain Data. CIKM Arijit Khan, Cuneyt Gurcan Akcora
2022	J	`jnl`	Most Probable Densest Subgraphs. CoRR Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long
2022	J	`jnl`	Multi-relation Graph Summarization. ACM Trans. Knowl. Discov. Data Xiangyu Ke, Arijit Khan, Francesco Bonchi
2022	J	`jnl`	Reliability Maximization in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
2022	—	`conf`	ShaderNet: graph-based shader code analysis to accelerate GPU's performance improvement. GRADES-NDA@SIGMOD Lin Zhao, Arijit Khan, Robby Luo
2022	J	`jnl`	Voting-based Opinion Maximization. CoRR Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
2021	—	`conf`	Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity. IEEE BigData Jhalak Gupta, Arijit Khan
2021	J	`jnl`	Multi-relation Graph Summarization. CoRR Xiangyu Ke, Arijit Khan, Francesco Bonchi
2021	—	`conf`	Online Updates of Knowledge Graph Embedding. COMPLEX NETWORKS Luo Fei, Tianxing Wu, Arijit Khan
2021	A*	`conf`	Reliability Maximization in Uncertain Graphs (Extended Abstract). ICDE Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
2021	J	`jnl`	Shortest Paths and Centrality in Uncertain Networks. Proc. VLDB Endow. Arkaprava Saha, Ruben Brokkelkamp, Yllka Velaj, Arijit Khan, Francesco Bonchi
2021	A*	`conf`	Temporal Analysis of the Entire Ethereum Blockchain Network. WWW Lin Zhao, Sourav Sen Gupta, Arijit Khan, Robby Luo
2020	—	`conf`	An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning. IEEE BigData Kenneth Teo Tian Shun, Eko Edita Limanta, Arijit Khan
2020	—	`conf`	Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. SIGMOD Conference Junghoon Kim, Tao Guo, Kaiyu Feng, Gao Cong, Arijit Khan, Farhana Murtaza Choudhury
2020	A*	`conf`	K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract). ICDE Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan
2020	J	`jnl`	K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks. IEEE Trans. Knowl. Data Eng. Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan
2020	A*	`conf`	Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network. WWW Xi Tong Lee, Arijit Khan, Sourav Sen Gupta, Yu Hann Ong, Xuan Liu
2020	J	`jnl`	Mining Top-k Pairs of Correlated Subgraphs in a Large Network. Proc. VLDB Endow. Arneish Prateek, Arijit Khan, Akshit Goyal, Sayan Ranu
2020	B	`ed.`	Proceedings of the 23rd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020. EDBT Angela Bonifati, Yongluan Zhou, Marcos Antonio Vaz Salles, Alexander Böhm, Dan Olteanu, George H. L. Fletcher, Arijit Khan, Bin Yang
2020	A*	`conf`	Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. ICDE Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan
2019	J	`jnl`	An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. CoRR Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan
2019	J	`jnl`	An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. Proc. VLDB Endow. Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan
2019	J	`jnl`	Budgeted Reliability Maximization in Uncertain Graphs. CoRR Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari
2019	—	`conf`	Distance-generalized Core Decomposition. SIGMOD Conference Francesco Bonchi, Arijit Khan, Lorenzo Severini
2019	J	`jnl`	Distance-generalized Core Decomposition. CoRR Francesco Bonchi, Arijit Khan, Lorenzo Severini
2019	J	`jnl`	Efficiently Embedding Dynamic Knowledge Graphs. CoRR Tianxing Wu, Arijit Khan, Huan Gao, Cheng Li
2019	—	`ch.`	Graph Pattern Matching. Encyclopedia of Big Data Technologies Yinghui Wu, Arijit Khan
2019	—	`conf`	Maximizing Contrasting Opinions in Signed Social Networks. IEEE BigData Kaivalya Rawal, Arijit Khan
2019	J	`jnl`	Maximizing Contrasting Opinions in Signed Social Networks. CoRR Kaivalya Rawal, Arijit Khan
2019	J	`jnl`	Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. CoRR Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan
2018	J	`jnl`	A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors. Proc. VLDB Endow. Xiangyu Ke, Michelle Teo, Arijit Khan, Vijaya Krishna Yalavarthi
2018	—	`conf`	An Empirical Analysis on Expressibility of Vertex Centric Graph Processing Paradigm. IEEE BigData Siyuan Liu, Arijit Khan
2018	J	`jnl`	Composite Hashing for Data Stream Sketches. CoRR Arijit Khan, Sixing Yan
2018	J	`jnl`	Conditional Reliability in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer
2018	J	`jnl`	Fast Influence Maximization in Dynamic Graphs: A Local Updating Approach. CoRR Vijaya Krishna Yalavarthi, Arijit Khan
2018	—	`conf`	Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. SIGMOD Conference Xiangyu Ke, Arijit Khan, Gao Cong
2018	A*	`conf`	Inf2vec: Latent Representation Model for Social Influence Embedding. ICDE Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee
2018	—	`conf`	On Smart Query Routing: For Distributed Graph Querying with Decoupled Storage. USENIX ATC Arijit Khan, Gustavo Segovia, Donald Kossmann
2018	—	`book`	On Uncertain Graphs Arijit Khan, Ye Yuan, Lei Chen
2018	—	`conf`	Steering Top-k Influencers in Dynamic Graphs via Local Updates. IEEE BigData Vijaya Krishna Yalavarthi, Arijit Khan
2017	—	`ch.`	Big-Graphs: Querying, Mining, and Beyond. Handbook of Big Data Technologies Arijit Khan, Sayan Ranu
2017	J	`jnl`	Probabilistic Entity Resolution with Imperfect Crowd. CoRR Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan
2017	A	`conf`	Select Your Questions Wisely: For Entity Resolution With Crowd Errors. CIKM Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan
2017	J	`jnl`	Summarizing Static and Dynamic Big Graphs. Proc. VLDB Endow. Arijit Khan, Sourav S. Bhowmick, Francesco Bonchi
2017	J	`jnl`	Toward query-friendly compression of rapid graph streams. Soc. Netw. Anal. Min. Arijit Khan, Charu C. Aggarwal
2017	B	`conf`	Vertex-Centric Graph Processing: Good, Bad, and the Ugly. EDBT Arijit Khan
2016	—	`conf`	Augmented Sketch: Faster and More Accurate Stream Processing. SIGMOD Conference Pratanu Roy, Arijit Khan, Gustavo Alonso
2016	—	`ed.`	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 Big-O(Q)/DMAH@VLDB Fusheng Wang, Gang Luo, Chunhua Weng, Arijit Khan, Prasenjit Mitra, Cong Yu
2016	J	`jnl`	Conditional Reliability in Uncertain Graphs. CoRR Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer
2016	J	`jnl`	Let's Do Smart Routing: For Distributed Graph Querying with Decoupled Storage. CoRR Arijit Khan, Gustavo Segovia, Donald Kossmann
2016	B	`conf`	Query-friendly compression of graph streams. ASONAM Arijit Khan, Charu C. Aggarwal
2016	A*	`conf`	Querying knowledge Graphs By Example entity tuples. ICDE Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
2016	A*	`conf`	Revenue maximization by viral marketing: A social network host's perspective. ICDE Arijit Khan, Benjamin Zehnder, Donald Kossmann
2016	Misc	`conf`	Towards Querying Uncertain Graphs. COMAD Arijit Khan
2016	A	`conf`	Towards Time-Discounted Influence Maximization. CIKM Arijit Khan
2016	J	`jnl`	Vertex-Centric Graph Processing: The Good, the Bad, and the Ugly. CoRR Arijit Khan
2015	J	`jnl`	On Uncertain Graphs Modeling and Queries. Proc. VLDB Endow. Arijit Khan, Lei Chen
2015	J	`jnl`	Querying Knowledge Graphs by Example Entity Tuples. IEEE Trans. Knowl. Data Eng. Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
2015	A	`conf`	Top-k Reliable Edge Colors in Uncertain Graphs. CIKM Arijit Khan, Francesco Gullo, Thomas Wohler, Francesco Bonchi
2015	B	`conf`	Top-k representative queries with binary constraints. SSDBM Arijit Khan, Vishwakarma Singh
2014	B	`conf`	Fast Reliability Search in Uncertain Graphs. EDBT Arijit Khan, Francesco Bonchi, Aristides Gionis, Francesco Gullo
2014	A*	`conf`	GQBE: Querying knowledge graphs by example entity tuples. ICDE Nandish Jayaram, Mahesh Gupta, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
2014	J	`jnl`	Systems for Big-Graphs. Proc. VLDB Endow. Arijit Khan, Sameh Elnikety
2014	—	`conf`	Towards a Query-by-Example System for Knowledge Graphs. GRADES Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
2014	—	`conf`	Towards indexing functions: answering scalar product queries. SIGMOD Conference Arijit Khan, Pouya Yanki, Bojana Dimcheva, Donald Kossmann
2013	J	`jnl`	NeMa: Fast Graph Search with Label Similarity. Proc. VLDB Endow. Arijit Khan, Yinghui Wu, Charu C. Aggarwal, Xifeng Yan
2013	J	`jnl`	Querying Knowledge Graphs by Example Entity Tuples. CoRR Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri
2012	A	`conf`	Density index and proximity search in large graphs. CIKM Nan Li, Xifeng Yan, Zhen Wen, Arijit Khan
2012	A*	`conf`	Emerging Graph Queries in Linked Data. ICDE Arijit Khan, Yinghui Wu, Xifeng Yan
2012	—	`conf`	Finding Skyline Nodes in Large Networks. ICDE Workshops Arijit Khan, Vishwakarma Singh, Jian Wu
2012	—	`conf`	Towards effective partition management for large graphs. SIGMOD Conference Shengqi Yang, Xifeng Yan, Bo Zong, Arijit Khan
2012	B	`conf`	Workload characterization and prediction in the cloud: A multiple time series approach. NOMS Arijit Khan, Xifeng Yan, Shu Tao, Nikos Anerousis
2011	—	`conf`	Neighborhood based fast graph search in large networks. SIGMOD Conference Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao
2011	A	`conf`	On Flow Authority Discovery in Social Networks. SDM Charu C. Aggarwal, Arijit Khan, Xifeng Yan
2010	—	`conf`	Towards proximity pattern mining in large graphs. SIGMOD Conference Arijit Khan, Xifeng Yan, Kun-Lung Wu
2008	—	`conf`	Undersea wireless sensor network for ocean pollution prevention. COMSWARE Arijit Khan, Lawrence Jenkins