| 2024 | InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. | Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2024 | Graphs on Qubits: Demonstrating Three Graph Algorithms on Quantum Computers. | Lauri Vuorenkoski, Valter Uotila |
| 2024 | Supervised Learning on Relational Databases with Quantum Graph Neural Networks. | Martin Vogrin, Rok Vogrin, Sven Groppe, Jinghua Groppe |
| 2024 | Size Does (Not) Matter? Sparsification and Graph Neural Network Sampling for Large-scale Graphs. | Jana Vatter, Maurice L. Rochau, Ruben Mayer, Hans-Arno Jacobsen |
| 2024 | Workshop Summary of the Second International Workshop on Quantum Data Science and Management (QDSM). | Valter Uotila, Sven Groppe, Le Gruenwald, Jiaheng Lu, Wolfgang Mauerer |
| 2024 | Addressing Data Management Challenges for Interoperable Data Science. | Ilin Tolovski, Tilmann Rabl |
| 2024 | Process Model-based Access Control Policies for Cross-Organizational Data Sharing. | Liam Tirpitz, Leon Gentges |
| 2024 | Enhancing Geographic Information Visualization: A Comparative Analysis of Digital Maps and Projection Augmented Relief Maps. | Chang Yuan Lang Teng, Zhiwei Shi, Lingyun Yu, Yu Liu |
| 2024 | Can Delta Compete with Frame-of-Reference for Lightweight Integer Compression? | Julia Spindler, Philipp Fent, Adrian Riedl, Thomas Neumann |
| 2024 | Vizard: Improving Visual Data Literacy with Large Language Models. | Rubab Zahra Sarfraz, Samar Haider |
| 2024 | Towards Semi-Supervised Data Quality Detection In Graphs. | Rubab Zahra Sarfraz |
| 2024 | MRG-SER: Self-supervised Spatial Entity Resolution Based on Multi-Relational Graph. | Hanchen Qiu, Haojia Zhu, Zhicheng Li, Jiahui Jin |
| 2024 | Valuation-based Data Acquisition for Machine Learning Fairness. | Ekta Pradhan, Romila Pradhan |
| 2024 | A Data Generator to Explore the Interactions Between Concept Drifts and Anomalies [Demo]. | Jongjun Park, Akanksha Nehete, Tammy Zeng, Fei Chiang |
| 2024 | Schema Matching with Large Language Models: an Experimental Study. | Marcel Parciak, Brecht Vandevoort, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren |
| 2024 | ALT-GEN: Benchmarking Table Union Search using Large Language Models. | Koyena Pal, Aamod Khatiwada, Roee Shraga, Rene J. Miller |
| 2024 | Knowledge Graph Efficient Construction: Embedding Chain-of-Thought into LLMs. | Jixuan Nie, Xia Hou, Wenfeng Song, Xuan Wang, Xingliang Jin, Xinyu Zhang, ShuoZhe Zhang, Jiaqi Shi |
| 2024 | From Instructions to ODRL Usage Policies: An Ontology Guided Approach. | Daham M. Mustafa, Abhishek Nadgeri, Diego Collarana, Benedikt T. Arnold, Christoph Quix, Christoph Lange, Stefan Decker |
| 2024 | Leveraging LLMs Few-shot Learning to Improve Instruction-driven Knowledge Graph Construction. | Yongli Mou, Li Liu, Sulayman K. Sowe, Diego Collarana, Stefan Decker |
| 2024 | Benefits and Challenges of Decentralization in Data Systems: Opportunities for Data Management Research. | Ruben Mayer |
| 2024 | Partial Adaptive Indexing for Approximate Query Answering. | Stavros Maroulis, Nikos Bikakis, Vasileios Stamatopoulos, George Papastefanatos |
| 2024 | AutoFAIR : Automatic Data FAIRification via Machine Reading. | Tingyan Ma, Wei Liu, Bin Lu, Xiaoying Gan, Yunqiang Zhu, Luoyi Fu, Chenghu Zhou |
| 2024 | Ghostwriter: a Distributed Message Broker on RDMA and NVM. | Hendrik Makait, Bonaventura Del Monte, Tilmann Rabl |
| 2024 | Enhancing Neo4j Query Efficiency with Seamless Integration of the GOpt Optimization Framework. | Bingqing Lyu, Xiaoli Zhou, Longbin Lai, Yufan Yang, Yunkai Lou, Yongfei Liu |
| 2024 | Practical Declarative Smart Contracts Optimization. | Lan Lu, Tao Luo, Jingyi Li, Hongxun Ding, Brendan Massey, Haoxian Chen, Boon Thau Loo |