| 2025 | From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs. | Tamara Cucumides, Floris Geerts |
| 2025 | Adobe Summit Concierge Evaluation with human in the loop. | Yiru Chen, Sally Fang, Sai Sree Harsha, Dan Luo, Vaishnavi Muppala, Fei Wu, Shun Jiang, Kun Qian, Yunyao Li |
| 2025 | Toward Interpretable Methods for Time Series Analytics. | Flix Chavelli |
| 2025 | LLM-assisted Construction of the United States Legislative Graph. | Francesco Cambria, Andrea Colombo |
| 2025 | Constraint-aware Learning of Probabilistic Sequential Models for Multi-Label Classification. | Mykhailo Buleshnyi, Anna Polova, Zsolt Zombori, Michael Benedikt |
| 2025 | Inferring Missing Data Lineage Links from Schema Metadata Using Transformer-Based Models. | Maciej Brzeski, Adam Roman |
| 2025 | DAG lakehouse planning with an ephemeral and embedded graph database. | Luca Bigon, Jacopo Tagliabue, Semih Salihoglu |
| 2025 | Towards Fine-Grained Extraction of Scientific Claims from Heterogeneous Tables Using Large Language Models. | Daniele Bertillo, Laks V. S. Lakshmanan, Paolo Merialdo, Divesh Srivastava |
| 2025 | Personal Data Sovereignty through Federated Access and Policy Control. | Vijon Baraku |
| 2025 | UxV-DPN: Utility-vs-Value Data Pricing and Negotiation Mechanism in Machine Learning Data Marketplace. | Hajar Baghcheband, Carlos Soares, Lus Paulo Reis |
| 2025 | Improving Column Type Annotation Using Large Language Models. | Amir Babamahmoudi, Davood Rafiei, Mario A. Nascimento |
| 2025 | An Interpretable Market-based Data Price Prediction Tool. | Santiago Andrs Azcoitia, Alicia Cabrero Jimnez |
| 2025 | Vision Paper: Improving the Accessibility of Port Operations in Supply Chain Management using Graph Data Analysis. | Mert Ayas, Frank Laarmann, Leif Meier, Katja Zeume |
| 2025 | Theseus a Composable distributed execution runtime: Performance across GPUs, Networks, and Storage. | Felipe Arambur |
| 2025 | High Throughput GPU-Accelerated FSST String Compression. | Tim Anema, Joost Hoozemans, Zaid Al-Ars, H. Peter Hofstee |
| 2025 | AutoDebugger: Efficient Root Cause Analysis for Anomaly Jobs. | Fathelrahman Ali, Yiwen Zhu, Lie Jiang, Zhen Li, Manting Li, Kun Huang, Lijing Lin, Long Tian, Xiaolei Liu, Subru Krishnan |
| 2025 | Research Challenges in Relational Database Management Systems for LLM Queries. | Kerem Akillioglu, Anurag Chakraborty, Sairaj Voruganti, M. Tamer zsu |
| 2025 | Optimizing Data Systems for LLM Workloads. | Kerem Akillioglu |
| 2025 | Learning What Matters: Automated Feature Selection for Learned Cost Model in Parallel Stream Processing. | Pratyush Agnihotri, Carsten Binnig, Manisha Luthra |
| 2024 | Large Language Models as Data Preprocessors. | Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada |
| 2024 | Report on the 3rd International Workshop on Large-Scale Graph Data Analytics (LSGDA 2024). | Long Yuan, Zhengyi Yang, Qingqiang Sun, Alexander Zhou |
| 2024 | EvalGPT: A Visual Analytic Framework for Enhancing Trust in Large Language Models. | Xu Yang, Yiheng Liang, Le Liu, Lianwei Wu, Xiaoru Yuan |
| 2024 | InterpretStack: Interpretable Exploration and Interactive Visualization Construction of Stacking Algorithm. | Yu Wang, Jing Lu, Le Liu, Junping Zhang, Siming Chen |
| 2024 | Tangible Progress: Employing Visual Metaphors and Physical Interfaces in AI-based English Language Learning. | Mei Wang, Hai-Ning Liang, Yu Liu, Chengtao Ji, Lingyun Yu |
| 2024 | 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. | Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang |