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Publication search results
found 76 matches
- 2024
- Arijit Khan, Tianxing Wu, Xi Chen:
LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs. VLDB Workshops 2024 - Arijit Khan:
Data Management and AI for Blockchain Data Analysis: A Round Trip and Opportunities. VLDB Workshops 2024 - Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. VLDB Workshops 2024 - Chen Chen, Jingya Qian, Hui Luo, Yongye Li, Xiaoyang Wang:
Parallel Higher-order Truss Decomposition. VLDB Workshops 2024 - Xin Zhang, Ahmed Eldawy:
QPV: An Input Control Component For Progressive Visualization Analytics. VLDB Workshops 2024 - Han Zhang, Quan Gan, David Wipf, Weinan Zhang:
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases. VLDB Workshops 2024 - Yusuf Abdulle, Emily Groves, Minhong Wang, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu:
Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest. VLDB Workshops 2024 - Fatemeh Ahmadi, Yusuf Mandirali, Ziawasch Abedjan:
Accelerating the Data Cleaning Systems Raha and Baran through Task and Data Parallelism. VLDB Workshops 2024 - Asma Jodeiri Akbarfam, Hoda Maleki:
SOK: Blockchain for Provenance. VLDB Workshops 2024 - Mohammad Javad Amiri:
Proceedings of the Sixth International Workshop on Foundations and Applications of Blockchain (FAB). VLDB Workshops 2024 - Natalia V. Andrienko, Gennady L. Andrienko, Dimitris Zissis, Alexandros Troupiotis-Kapeliaris, Giannis Spiliopoulos:
Techniques for interactive visual examination of autonomous vessel performance. VLDB Workshops 2024 - Jan Appel, Andreas Weiler:
XCrowd: Real-Time Dynamic Crowd Movement Simulation on Graph Networks. VLDB Workshops 2024 - Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker:
Humboldt: Metadata-Driven Extensible Data Discovery. VLDB Workshops 2024 - Sourav S. Bhowmick, Lisa Ehrlinger, Hazar Harmouch:
13th International Workshop on Quality in Databases: Preface. VLDB Workshops 2024 - Jan-Micha Bodensohn, Ulf Brackmann, Liane Vogel, Matthias Urban, Anupam Sanghi, Carsten Binnig:
LLMs for Data Engineering on Enterprise Data. VLDB Workshops 2024 - Théo Bouganim, Ioana Manolescu, Emmanuel Pietriga:
A Unified Visual Exploration Framework for (Semi-)structured Data. VLDB Workshops 2024 - Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Chris Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. VLDB Workshops 2024 - Jeeta Ann Chacko:
A Comprehensive Outlook for Analyzing and Enhancing the Performance of Blockchain Platforms. VLDB Workshops 2024 - Xingyun Chen, Yan Huang, Zhenzhen Xie, Junjie Pang:
HyperFedNet: Communication-Efficient Personalized Federated Learning Via Hypernetwork. VLDB Workshops 2024 - Carolina Cortes, Camila Sanz, Lorena Etcheverry, Adriana Marotta:
Data Quality Management for Responsible AI in Data Lakes. VLDB Workshops 2024 - Avishek De, Divyakant Agrawal, Amr El Abbadi:
CroCRPC: Cross-Chain Remote Procedure Calls Framework for dApps. VLDB Workshops 2024 - Giorgos Demosthenous, Chryssis Georgiou, Eliada Polydorou:
From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting. VLDB Workshops 2024 - Vasilis Efthymiou, Sainyam Galhotra, Oktie Hassanzadeh, Chuan Lei, Kavitha Srinivas:
2nd International Workshop on Tabular Data Analysis (TaDA). VLDB Workshops 2024 - Grace Fan, Roee Shraga, Renée J. Miller:
Finding Support for Tabular LLM Outputs. VLDB Workshops 2024 - Alessandro Fogli, Peter Pletzuch, Jana Giceva:
Optimizing Sorting for Chiplet-Based CPUs. VLDB Workshops 2024 - Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou:
Fast and Accurate Regional Effect Plots for Automated Tabular Data Analysis. VLDB Workshops 2024 - Alireza Heidari, Amirhossein Ahmadi, Zefeng Zhi, Wei Zhang:
MetaHive: A Cache-Optimized Metadata Management for Heterogeneous Key-Value Stores. VLDB Workshops 2024 - Kayvon Heravi, Saathvik Dirisala, Babak Salimi:
DEMA: Enhancing Causal Analysis through Data Enrichment and Discovery in Data Lakes. VLDB Workshops 2024 - Barbara Hoffmann, Jana Vatter, Ruben Mayer:
Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act. VLDB Workshops 2024 - Xiang Huang, Shuang Hao:
Missing Value Imputation via Pre-trained Language Models with Trainable Prompt and Retrieval Augmentation. VLDB Workshops 2024
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