| 2023 | A Query Language Perspective on Graph Learning. Floris Geerts |
| 2023 | Allocating Isolation Levels to Transactions in a Multiversion Setting. Brecht Vandevoort, Bas Ketsman, Frank Neven |
| 2023 | Applications of Sketching and Pathways to Impact. Graham Cormode |
| 2023 | Better Cardinality Estimators for HyperLogLog, PCSA, and Beyond. Dingyu Wang, Seth Pettie |
| 2023 | Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch. Christian Janos Lebeda, Jakub Tetek |
| 2023 | Bounded Treewidth and the Infinite Core Chase: Complications and Workarounds toward Decidable Querying. Jean-François Baget, Marie-Laure Mugnier, Sebastian Rudolph |
| 2023 | Coloring in Graph Streams via Deterministic and Adversarially Robust Algorithms. Sepehr Assadi, Amit Chakrabarti, Prantar Ghosh, Manuel Stoeckl |
| 2023 | Conjunctive Queries With Self-Joins, Towards a Fine-Grained Enumeration Complexity Analysis. Nofar Carmeli, Luc Segoufin |
| 2023 | Conjunctive Regular Path Queries under Injective Semantics. Diego Figueira, Miguel Romero |
| 2023 | Corrigendum: Are Few Bins Enough: Testing Histogram Distributions. Clément L. Canonne |
| 2023 | Databases as Graphs: Predictive Queries for Declarative Machine Learning. Jure Leskovec |
| 2023 | Differentially Private Data Release over Multiple Tables. Badih Ghazi, Xiao Hu, Ravi Kumar, Pasin Manurangsi |
| 2023 | Distributed Consistency Beyond Queries. Tim Baccaert, Bas Ketsman |
| 2023 | Efficient Computation of Quantiles over Joins. Nikolaos Tziavelis, Nofar Carmeli, Wolfgang Gatterbauer, Benny Kimelfeld, Mirek Riedewald |
| 2023 | Extremal Fitting Problems for Conjunctive Queries. Balder ten Cate, Victor Dalmau, Maurice Funk, Carsten Lutz |
| 2023 | GPC: A Pattern Calculus for Property Graphs. Nadime Francis, Amélie Gheerbrant, Paolo Guagliardo, Leonid Libkin, Victor Marsault, Wim Martens, Filip Murlak, Liat Peterfreund, Alexandra Rogova, Domagoj Vrgoc |
| 2023 | Generative Datalog with Stable Negation. Mario Alviano, Matthias Lanzinger, Michael Morak, Andreas Pieris |
| 2023 | Guaranteeing the Õ(AGM/OUT) Runtime for Uniform Sampling and Size Estimation over Joins. Kyoungmin Kim, Jaehyun Ha, George Fletcher, Wook-Shin Han |
| 2023 | Indexing for Keyword Search with Structured Constraints. Shangqi Lu, Yufei Tao |
| 2023 | Node-Differentially Private Estimation of the Number of Connected Components. Iden Kalemaj, Sofya Raskhodnikova, Adam D. Smith, Charalampos E. Tsourakakis |
| 2023 | On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms. Shiyuan Deng, Shangqi Lu, Yufei Tao |
| 2023 | Optimal Uncoordinated Unique IDs. Peter C. Dillinger, Martin Farach-Colton, Guido Tagliavini, Stefan Walzer |
| 2023 | Probabilistic Query Evaluation: The Combined FPRAS Landscape. Timothy van Bremen, Kuldeep S. Meel |
| 2023 | Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2023, Seattle, WA, USA, June 18-23, 2023 Floris Geerts, Hung Q. Ngo, Stavros Sintos |
| 2023 | Quantifying the Loss of Acyclic Join Dependencies. Batya Kenig, Nir Weinberger |
| 2023 | Querying Incomplete Numerical Data: Between Certain and Possibile Answers. Marco Console, Leonid Libkin, Liat Peterfreund |
| 2023 | SQL Nulls and Two-Valued Logic. Leonid Libkin, Liat Peterfreund |
| 2023 | Sampling Big Ideas in Query Optimization. Edith Cohen |
| 2023 | Set Cover in the One-pass Edge-arrival Streaming Model. Sanjeev Khanna, Christian Konrad, Cezar-Mihail Alexandru |
| 2023 | Space-Time Tradeoffs for Conjunctive Queries with Access Patterns. Hangdong Zhao, Shaleen Deep, Paraschos Koutris |
| 2023 | Static Analysis of Graph Database Transformations. Iovka Boneva, Benoît Groz, Jan Hidders, Filip Murlak, Slawek Staworko |
| 2023 | Synthesizing Nested Relational Queries from Implicit Specifications. Michael Benedikt, Cécilia Pradic, Christoph Wernhard |
| 2023 | The ACM PODS Alberto O. Mendelzon Test-of-Time Award 2023. Marcelo Arenas, Wenfei Fan, Frank Neven |
| 2023 | Towards Better Bounds for Finding Quasi-Identifiers. Ryan Hildebrant, Quoc-Tung Le, Duy-Hoang Ta, Hoa T. Vu |
| 2023 | Universal Private Estimators. Wei Dong, Ke Yi |
| 2023 | Weighted Minwise Hashing Beats Linear Sketching for Inner Product Estimation. Aline Bessa, Majid Daliri, Juliana Freire, Cameron Musco, Christopher Musco, Aécio S. R. Santos, Haoxiang Zhang |