| 2023 | Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs. | You Peng, Zhuo Ma, Wenjie Zhang, Xuemin Lin, Ying Zhang, Xiaoshuang Chen |
| 2023 | A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). | Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng |
| 2023 | TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs. | You Peng, Xuemin Lin, Michael Yu, Wenjie Zhang, Lu Qin |
| 2023 | VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining. | Paolo Pellizzoni, Fabio Vandin |
| 2023 | A Hierarchical Approach to Anomalous Subgroup Discovery. | Eliana Pastor, Elena Baralis, Luca de Alfaro |
| 2023 | Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. | Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, Yongjun Park |
| 2023 | CORGI: An interactive framework for Customizable and Robust Location Obfuscation. | Primal Pappachan, Vishnu Sharma Hunsur Manjunath, Chenxi Qiu, Anna Cinzia Squicciarini, Hailey Onweller |
| 2023 | Relational Fabric: Transparent Data Transformation. | Tarikul Islam Papon, Ju Hyoung Mun, Shahin Roozkhosh, Denis Hoornaert, Ahmed Sanaullah, Ulrich Drepper, Renato Mancuso, Manos Athanassoulis |
| 2023 | ACEing the Bufferpool Management Paradigm for Modern Storage Devices. | Tarikul Islam Papon, Manos Athanassoulis |
| 2023 | Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. | Qiying Pan, Yifei Zhu, Lingyang Chu |
| 2023 | IFCA: Index-Free Community-Aware Reachability Processing Over Large Dynamic Graphs. | Yue Pang, Lei Zou, Yu Liu |
| 2023 | Real-time Personalized Guest Experiences using Product Attribute Information on Vanilla Hardware. | Amit Pande, Rahul Biswas, Pushkar Chennu, Harshith N, Anupama Joshi |
| 2023 | The Metaverse Data Deluge: What Can We Do About It? | Beng Chin Ooi, Gang Chen, Mike Zheng Shou, Kian-Lee Tan, Anthony K. H. Tung, Xiaokui Xiao, James Wei Luen Yip, Bingxue Zhang, Meihui Zhang |
| 2023 | Verifying the Correctness of Analytic Query Results (Extended Abstract). | Masoud Nosrati, Ying Cai |
| 2023 | Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract). | Shunya Nishio, Daichi Amagata, Takahiro Hara |
| 2023 | Human-AI Complex Task Planning. | Sepideh Nikookar |
| 2023 | Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). | Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen |
| 2023 | Unshackling Database Benchmarking from Synthetic Workloads. | Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi |
| 2023 | Koios: Top-k Semantic Overlap Set Search. | Pranay Mundra, Jianhao Zhang, Fatemeh Nargesian, Nikolaus Augsten |
| 2023 | Towards Optimizing Storage Costs on the Cloud. | Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan |
| 2023 | TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. | Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang |
| 2023 | Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). | Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini |
| 2023 | Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). | Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2023 | SketchConf: A Framework for Automatic Sketch Configuration. | Ruijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao, Yuhan Wu, Kaicheng Yang, Tong Yang, Bin Cui |
| 2023 | Context-aware Service Recommendation based on Knowledge Graph Embedding (Extended Abstract). | Haithem Mezni, Djamal Benslimane, Ladjel Bellatreche |