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SIGMOD/PODS 2024: Santiago, Chile

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Manos Athanassoulis, Natacha Crooks, Holger Pirk:
Reproducibility Reports of the 2024 International Conference on Management of Data, SIGMOD ARI Reports 2024, Santiago, Chile, June 9-15, 2024. ACM 2025, ISBN 979-8-4007-1179-4

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Ayushi Singh, Sven Helmer, Yancan Mao, Jianjun Zhao, Shuhao Zhang:
Reproducibility Report for ACM SIGMOD 2023 Paper: 'MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores'. 1-4
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Yangshen Deng, Ted Shaowang, Tapan Srivastava:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation'. 5-7
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Yihao Hu, Gabriele Oliaro, Jiani Yang, Muhammad Farhan:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Hierarchical Cut Labelling - Scaling Up Distance Queries on Road Networks'. 8-9
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Chenhao Ma, Junchang Wang, Curtis E. Dyreson, Amani M. Shatnawi, Sourav S. Bhowmick, Vishal Sharma:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Temporal JSON Keyword Search'. 10-11
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Anwesha Saha, Minguk Choi, Qiaolin Yu, David C. Y. Chu:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Optimizing Distributed Protocols with Query Rewrites'. 12-14
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Yihao Liu, Yuanhui Luo, Minguk Choi:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs'. 15-19
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Viktor Sanca, Yesdaulet Izenov, Amedeo Pachera, Neha Makhija, Wolfgang Gatterbauer:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations'. 20-23
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Mo Sha, Kaiqiang Yu, Shuangyu Cai, Boyu Tian, Huanchen Zhang, Mingyu Gao:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware'. 24-27
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Alexander Krause, Georgiy Lebedev, Sami Hadouaj, Ouael Ben Amara, Niccolò Meneghetti:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'StarfishDB: A Query Execution Engine for Relational Probabilistic Programming'. 28-31
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Yinzhao Yan, Raymond Chi-Wing Wong, Guozhang Sun:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Proximity Queries on Point Clouds using Rapid Construction Path Oracle'. 32-34
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Niccolò Meneghetti, Hein Meling, Kyoseung Koo, Yoojin Choi:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement'. 35-43
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Giorgio Vinciguerra, Chuqing Gao, Shufan Zhang, Xi He:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance'. 44-50
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Bogdan Nicusor Bindea, George Katsogiannis-Meimarakis, Luca Zecchini, Azim Afroozeh, Leonardo Kuffó, Peter Boncz:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'ALP: Adaptive Lossless Floating-Point Compression'. 51-54
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Yinzhao Yan, Yicong Huang, Yingli Zhou, Haoran Ding:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Proving Query Equivalence Using Linear Integer Arithmetic'. 55-56
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Saeed Fathollahzadeh, Maxwell Norfolk, Stefanos Baziotis, Xiaohan Yang:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Dias: Dynamic Rewriting of Pandas Code'. 57-59
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Giorgio Vinciguerra, Guang Yang, Wolfgang Gatterbauer, Cody Dunne:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'On The Reasonable Effectiveness of Relational Diagrams'. 60-63
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Lukas Schwerdtfeger, William Zhang:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Faster Algorithms for Fair Max-Min Diversification in R^d'. 64-65
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Olga Ovcharenko, Xiang Lian:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models'. 66-68
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Yuxuan Zhu, Maximilian Hüttner, Kyle Deeds:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Query Refinement for Diverse Top-k Selection'. 69-73
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Carlos E. Muñiz-Cuza, Yin Lou, Kyoseung Koo, Marco Costa, Giorgio Vinciguerra:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Grafite: Taming Adversarial Queries with Optimal Range Filters'. 74-81
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Sami Hadouaj, Xiaojun Dong:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'On Efficient Large Sparse Matrix Chain Multiplication'. 82-84
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Peter M. VanNostrand, Konstantinos Kanellis, Wan Shen Lim, Donghyun Sohn:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'FACET: Robust Counterfactual Explanation Analytics'. 85-88
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David C. Y. Chu, Alexandros Zeakis, Guangjing Wang, Zichen Zhu:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'NOCAP: Near-Optimal Correlation-Aware Partitioning Joins'. 89-90
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Hein Meling, Yue Gong, Kaiqiang Yu, Cheng Long:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach'. 91-93

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