| 2026 | AIME | Informative Missingness to Generate Irregular Clinical Time Series. | Hadi Mehdizavareh, Gabriele Santangelo, Giovanna Nicora, Simon Lebech Cichosz, Arianna Dagliati, Arijit Khan, Riccardo Bellazzi |
| 2026 | ICDE | GNN Explainers 2.0: A Paradigm for User-Oriented, Data-Guided Explanations. | Arijit Khan |
| 2026 | ICDE | Second International Workshop on LLM+Vector Data: Agentic RAG Edition. | Arijit Khan, Yuyu Luo, M. Tamer zsu, Danrui Qi, Jiannan Wang |
| 2026 | ICDE | Interpreting Graph Inference with Skyline Explanations. | Dazhuo Qiu, Haolai Che, Arijit Khan, Yinghui Wu |
| 2026 | WWW | SliceGX: Layer-wise GNN Explanation with Model-slicing. | Cibo Yu, Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke |
| 2026 | WSDM | GNN Explainers 2.0: User-centric and Data-driven Insights. | Arijit Khan, Xiangyu Ke, Yinghui Wu, Francesco Bonchi |
| 2025 | ADC | SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. | Sriom Chakrabarti, Chuangtao Ma, Arijit Khan, Sebastian Link |
| 2025 | EDBT | Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities. | Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang |
| 2025 | EMNLP | CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. | Feiyang Li, Peng Fang, Zhan Shi, Arijit Khan, Fang Wang Weihao Wang, Xin Zhang, Cui Yongjian |
| 2025 | EMNLP | Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. | Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang |
| 2025 | ICDE | LLM + Vector Data: Coupling of Large Language Models with Vector Data Management for Enhancing Data Science. | Arijit Khan, Yuxiang Wang, Weixi Zhang, Yao Tian, M. Tamer zsu |
| 2025 | ICLR | Logical Consistency of Large Language Models in Fact-Checking. | Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan |
| 2025 | KDD | Finding Counterfactual Evidences for Node Classification. | Dazhuo Qiu, Jinwen Chen, Arijit Khan, Yan Zhao, Francesco Bonchi |
| 2025 | VLDB | LLM+Graph: 2nd International Workshop on Data Management Opportunities in Bringing LLMs with Graph Data. | Yixiang Fang, Arijit Khan, Tianxing Wu, Da Yan |
| 2024 | CIKM | Knowledge Graphs for Responsible AI. | Edlira Vakaj, Nandana Mihindukulasooriya, Manas Gaur, Arijit Khan |
| 2024 | DSAA | Estimate and Reduce Uncertainty in Uncertain Graphs. | Naheed Anjum Arafat, Ehsan Bonabi Mobaraki, Arijit Khan, Yllka Velaj, Francesco Bonchi |
| 2024 | ICDE | Synergies Between Graph Data Management and Machine Learning in Graph Data Pipeline. | Arijit Khan |
| 2024 | ICDE | View-based Explanations for Graph Neural Networks (Extended Abstract). | Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao |
| 2024 | ICDE | Generating Robust Counterfactual Witnesses for Graph Neural Networks. | Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu |
| 2024 | SIGMOD | User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views. | Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao |
| 2024 | VLDB | LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs. | Arijit Khan, Tianxing Wu, Xi Chen |
| 2024 | VLDB | Data Management and AI for Blockchain Data Analysis: A Round Trip and Opportunities. | Arijit Khan |
| 2023 | DSAA | Interpretability Methods for Graph Neural Networks. | Arijit Khan, Ehsan Bonabi Mobaraki |
| 2023 | ICDE | Voting-based Opinion Maximization. | Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan |
| 2023 | ICDE | Most Probable Densest Subgraphs. | Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long |
| 2022 | CIKM | Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration. | Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Shuzhan Ye, Shihuang Pan, Yuhan Zhou |
| 2022 | CIKM | Graph-based Management and Mining of Blockchain Data. | Arijit Khan, Cuneyt Gurcan Akcora |
| 2022 | ICDE | Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. | Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu |
| 2022 | WSDM | Automating ETL and Mining of Ethereum Blockchain Network. | Voon Hou Su, Sourav Sen Gupta, Arijit Khan |
| 2021 | ICDE | Reliability Maximization in Uncertain Graphs (Extended Abstract). | Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari |
| 2021 | WWW | Temporal Analysis of the Entire Ethereum Blockchain Network. | Lin Zhao, Sourav Sen Gupta, Arijit Khan, Robby Luo |
| 2020 | ICDE | Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. | Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan |
| 2020 | ICDE | K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract). | Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan |
| 2020 | WWW | Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network. | Xi Tong Lee, Arijit Khan, Sourav Sen Gupta, Yu Hann Ong, Xuan Liu |
| 2020 | SIGMOD | Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. | Junghoon Kim, Tao Guo, Kaiyu Feng, Gao Cong, Arijit Khan, Farhana Murtaza Choudhury |
| 2019 | SIGMOD | Distance-generalized Core Decomposition. | Francesco Bonchi, Arijit Khan, Lorenzo Severini |
| 2018 | ICDE | Inf2vec: Latent Representation Model for Social Influence Embedding. | Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee |
| 2018 | SIGMOD | Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. | Xiangyu Ke, Arijit Khan, Gao Cong |
| 2018 | USENIX | On Smart Query Routing: For Distributed Graph Querying with Decoupled Storage. | Arijit Khan, Gustavo Segovia, Donald Kossmann |
| 2017 | CIKM | Select Your Questions Wisely: For Entity Resolution With Crowd Errors. | Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan |
| 2017 | EDBT | Vertex-Centric Graph Processing: Good, Bad, and the Ugly. | Arijit Khan |
| 2016 | CIKM | Towards Time-Discounted Influence Maximization. | Arijit Khan |
| 2016 | COMAD | Towards Querying Uncertain Graphs. | Arijit Khan |
| 2016 | ICDE | Querying knowledge Graphs By Example entity tuples. | Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri |
| 2016 | ICDE | Revenue maximization by viral marketing: A social network host's perspective. | Arijit Khan, Benjamin Zehnder, Donald Kossmann |
| 2016 | SIGMOD | Augmented Sketch: Faster and More Accurate Stream Processing. | Pratanu Roy, Arijit Khan, Gustavo Alonso |
| 2015 | CIKM | Top-k Reliable Edge Colors in Uncertain Graphs. | Arijit Khan, Francesco Gullo, Thomas Wohler, Francesco Bonchi |
| 2015 | SSDBM | Top-k representative queries with binary constraints. | Arijit Khan, Vishwakarma Singh |
| 2014 | EDBT | Fast Reliability Search in Uncertain Graphs. | Arijit Khan, Francesco Bonchi, Aristides Gionis, Francesco Gullo |
| 2014 | ICDE | GQBE: Querying knowledge graphs by example entity tuples. | Nandish Jayaram, Mahesh Gupta, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri |
| 2014 | SIGMOD | Towards a Query-by-Example System for Knowledge Graphs. | Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri |
| 2014 | SIGMOD | Towards indexing functions: answering scalar product queries. | Arijit Khan, Pouya Yanki, Bojana Dimcheva, Donald Kossmann |
| 2012 | CIKM | Density index and proximity search in large graphs. | Nan Li, Xifeng Yan, Zhen Wen, Arijit Khan |
| 2012 | ICDE | Finding Skyline Nodes in Large Networks. | Arijit Khan, Vishwakarma Singh, Jian Wu |
| 2012 | ICDE | Emerging Graph Queries in Linked Data. | Arijit Khan, Yinghui Wu, Xifeng Yan |
| 2012 | NOMS | Workload characterization and prediction in the cloud: A multiple time series approach. | Arijit Khan, Xifeng Yan, Shu Tao, Nikos Anerousis |
| 2012 | SIGMOD | Towards effective partition management for large graphs. | Shengqi Yang, Xifeng Yan, Bo Zong, Arijit Khan |
| 2011 | SIGMOD | Neighborhood based fast graph search in large networks. | Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao |
| 2011 | SDM | On Flow Authority Discovery in Social Networks. | Charu C. Aggarwal, Arijit Khan, Xifeng Yan |
| 2010 | SIGMOD | Towards proximity pattern mining in large graphs. | Arijit Khan, Xifeng Yan, Kun-Lung Wu |