For meeting with your colleagues, chatting, discussions, SIGMOD provides a virtual conference site in Gather.
| Sunday 8:00 AM – 5:00 PM | |
| GRADES-NDA | Graph Learning with Loss-Guided Training |
| Session 1 (Graph learning and benchmarking) | Eliav Buchnik and Edith Cohen |
| GRADES-NDA | The Graph Based Benchmark Suite |
| Session 1 | Laxman Dhulipala, Jessica Shi, Tom Tseng, Guy Blelloch and Julian Shun |
| GRADES-NDA | Supporting Dynamic Graphs and Temporal Entity Deletions in the LDBC Social Network Benchmark’s Data Generator |
| Session 1 | Jack Waudby, Benjamin A. Steer, Arnau Prat-Pérez and Gábor Szárnyas |
| GRADES-NDA | Keynote |
| Session 2 (Graph analysis and pattern matching) | Katja Hose |
| GRADES-NDA | ELite: Cost-effective Approximation of Exploration-based Graph Analysis |
| Session 2 | Xiaofei Zhang, Tamer Ozsu and Lei Chen |
| GRADES-NDA | EdgeFrame: Worst-Case Optimal Joins for Graph-Pattern Matching in Spark |
| Session 2 | Per Fuchs, Peter Boncz and Bogdan Ghit |
| GRADES-NDA | Towards Interactive Pattern Search in Massive Graphs |
| Session 2 | Tahsin Reza, Matei Ripeanu, Geoffrey Sanders and Roger Pearce |
| GRADES-NDA | Keynote |
| Session 2 | Yizhou Sun |
| GRADES-NDA | Smooth Kronecker: Solving the Combing Problem in Kronecker Graphs |
| Session 3 (Potpourri) | Vaastav Anand, Puneet Mehrotra, Daniel Margo and Margo Seltzer |
| GRADES-NDA | Context-Free Path Querying with Single-Path Semantics by Matrix Multiplication |
| Session 3 | Rustam Azimov, Semyon Grigorev, Artem Khoroshev and Arseniy Terekhov |
| GRADES-NDA | A Framework for DSL-Based Query Classification Using Relational and Graph-Based Data Models |
| Session 3 | Peter K. Schwab, Maximilian Langohr and Klaus Meyer-Wegener |
| GRADES-NDA | Industrial talks |
| Session 3 | |
| GRADES-NDA | Free-roam posters and demos |
| Session 3 | |
| Monday 8:00 AM – 6:00 PM Tentative Schedule for DaMoN below, for the updated schedule; please visit https://sites.google.com/view/damon2020 | |
| DaMoN | Analyzing Memory Accesses With Modern Processors |
| Session 1 | Stefan Noll (TU Dortmund University, SAP SE); Jens Teubner (TU Dortmund University); Norman May (SAP SE); Alexander Boehm (SAP SE) |
| DaMoN | Scalable and Robust Latches for Database Systems |
| Session 1 | Jan Böttcher (TUM); Viktor Leis (Friedrich Schiller University Jena); Jana Giceva (TU Munich); Thomas Neumann (TUM); Alfons Kemper (TUM) |
| DaMoN | The Tale of 1000 Cores: An Evaluation of Concurrency Control on Real(ly) Large Multi-Socket Hardware |
| Session 1 | Tiemo Bang (TU Darmstadt); Carsten Binnig (TU Darmstadt); Norman May (SAP SE); Ilia Petrov (Reutlingen University) |
| DaMoN | Large-Scale In-Memory Analytics on Intel Optane DC Persistent Memory |
| Session 1 | Anil Shanbhag (MIT); Nesime Tatbul (Intel Labs and MIT); David E Cohen (Intel); Samuel Madden (MIT) |
| DaMoN | Concurrent Online Sampling for All, for Free |
| Session 1 | Altan Birler (TUM); Bernhard Radke (TUM); Thomas Neumann (TUM) |
| DaMoN | Efficient generation of machine code for query compilers |
| Session 1 | Henning Funke (TU Dortmund University); Jan Mühlig (TU Dortmund University); Jens Teubner (TU Dortmund University) |
| DaMoN | The Collection Virtual Machine: An Abstraction for Multi-Frontend Multi-Backend Data Analysis |
| Session 2 | Ingo Müller (ETH Zürich); Renato Marroquín (Oracle Labs); Dimitrios Koutsoukos (ETHZ); Mike Wawrzoniak (ETHZ); Sabir Akhadov (Databricks); Gustavo Alonso (ETHZ) |
| DaMoN | Accelerating Re-Pair Compression using FPGAs |
| Session 2 | Robert Lasch (SAP SE); Suleyman Demirsoy (Intel Corp.); Norman May (SAP SE); Veeraraghavan Ramamurthy (Intel Corp.); Christian Faerber (Intel Corporation); Kai-Uwe Sattler (TU Ilmenau) |
| DaMoN | FPGA-Accelerated Compression of Integer Vectors |
| Session 2 | Mahmoud Mohsen (SAP SE); Norman May (SAP SE); Christian Faerber (Intel Corporation); David Broneske (Otto-von-Guericke University Magdeburg) |
| DaMoN | nKV: Near-Data Processing with KV-Stores on Native Computational Storage |
| Session 2 | Tobias Vincon (Reutlingen University); Lukas Weber (TU Darmstadt); Andreas Koch (TU Darmstadt); Ilia Petrov (Reutlingen University) |
| DaMoN | Keynote talk, A Vision for Expandable Data Management Infrastructure and Acceleration with Heterogenous Configurable Systems |
| Session 3 | |
| DaMoN | Let’s Add Transactions to FPGA-based Key-Value Stores! |
| Session 3 | Zsolt István (IMDEA Software) |
| DaMoN | Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS |
| Session 3 | Yinjun Wu (University of Pennsylvania); Kwanghyun Park (Microsoft); Rathijit Sen (Microsoft); Brian Kroth (Microsoft); Jaeyoung Do (Microsoft Research) |
| DaMoN | Data Structure Primitives on Persistent Memory: An Evaluation |
| Session 3 | Philipp Götze (TU Ilmenau); Arun Kumar Tharanatha (TU Ilmenau); Kai-Uwe Sattler (TU Ilmenau) |
| DaMoN | Empirical Evaluation Across Multiple GPU-accelerated DBMSes |
| Session 3 | Hawon Chu (Kyungpook National University); Seounghyun Kim (Kyungpook National University); Joo-Young Lee (Kyungpook National University); Young-Kyoon Suh (Kyungpook National University) |
| DaMoN | The ReProVide Query-Sequence Optimization in a Hardware-Accelerated DBMS (Lekshmi Beena Gopalakrishnan Nair |
| Session 3 | Friedrich-Alexander University Erlangen-Nürnberg); Andreas Becher (Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)); Klaus Meyer-Wegener (University of Erlangen-Nürnberg) |
| DaMoN | Variable Word Length Word-Aligned Hybrid Compression |
| Session 3 | Florian Grieskamp (G DATA CyberDefense AG); Roland Kühn (TU Dortmund University); Jens Teubner (TU Dortmund University) |
| Friday 8:30 AM – 3:15 PM Tentative Schedule below, please visit https://hilda.io/2020/ for the latest details. | |
| HILDA | Keynote |
| Arvind Satyanarayan | |
| HILDA | In Memoriam: Sherif Sakr |
| Angela Bonifati | |
| HILDA | iSmartML: An Interactive and User-Guided Framework for Automated Machine Learning |
| Sherif Sakr, Radwa Elshawi and Shota Amashukeli | |
| HILDA | Towards Robust and Transparent Natural Language Interfaces for Databases |
| Session 1 (Natural Language Interfaces) | Christoph Brandt, Benjamin Hättasch, Nadja Geisler and Carsten Binnig |
| HILDA | NLonSpark: NL to SQL translation on top of Apache Spark |
| Session 1 | Apostolos Glenis and Georgia Koutrika |
| HILDA | Keynote |
| Session 2 (Integration & Recommendation) | Jessica Hullman |
| HILDA | Interactive View Recommendation with a Utility Function of a General Form |
| Xiaozhong Zhang, Xiaoyu Ge and Panos Chrysanthis | |
| HILDA | Loki: Streamlining Integration and Enrichment |
| William Spoth, Poonam Kumari, Oliver Kennedy and Fatemeh Nargesian | |
| HILDA | Surveillance Video Querying With A Human-in-the-Loop |
| Michael Cafarella, Michael Stonebraker, Bharat Bhargava, Zachary Collins, Aaron Sipser, Tao Sun, Jenna McClellan, Alina Nesen, Kma Solaiman, Ganapathy Mani, Kevin Kochpatcharin and Pelin Angin | |
| HILDA | Keynote |
| Session 3 (Machine Learning & Spreadsheets) | Peter Bailis |
| HILDA | Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development |
| Angela Lee, Doris Xin, Doris Jung-Lin Lee and Aditya Parameswaran | |
| HILDA | Understanding Data Analysis Workflows on Spreadsheets: Roadblocks and Opportunities |
| Pingjing Yang, Ti-Chung Cheng, Sajjadur Rahman, Mangesh Bendre, Karrie Karahalios and Aditya Parameswaran | |
| HILDA | Fairness-Aware Instrumentation of Preprocessing Pipelines for Machine Learning |
| Ke Yang, Biao Huang, Julia Stoyanovich and Sebastian Schelter | |
| Friday 9:00 AM – 12:10 PM Tentative Schedule below, please visit Our Full Schedule for the latest details. | |
| SBD | Towards Making Sense of Spark-SQL Performance for Processing Vast Distributed RDF Datasets |
| Session 1 | Mohamed Ragab, Riccardo Tommasini, Sadiq Eyvazov, Sherif Sakr: |
| SBD | Data Placement Strategies that Speed-Up Distributed Graph Query Processing |
| Session 1 | Daniel Janke, Steffen Staab, Martin Leinberger: |
| SBD | Triag, a Framework based on Triangles of RDF Triples |
| Session 1 | Hubert Naacke, Olivier Cure: |
| SBD | Relaxing Global-As-View in mediated data integration from Linked Data |
| Session 1 | Alessandro Adamou, Mathieu d’Aquin: |
| SBD | Automated ontology-based annotation of scientific literature using deep learning |
| Session 1 | Prashanti Manda, Saed SayedAhmed, Somya D. Mohanty: |
| SBD | What is the Schema of your Knowledge Graph? Leveraging Knowledge Graph Embeddings and Clustering for Expressive Taxonomy Learning |
| Session 2 | Amal Zouaq, Félix Martel: |
| SBD | QSGG: Query simulation in grammar-compressed graphs |
| Session 2 | Stefan Böttcher, Rita Hartel, Sven Peeters: |
| SBD | Ten Ways of Leveraging Ontologies for Natural Language Processing and its Enterprise Applications |
| Session 2 | Tatiana Erekhinskaya, Dmitry Strebkov, Sujal Patel, Mithun Balakrishna, Marta Tatu, Dan Moldovan: |
| SBD | SustainOnt – An Ontology for Defining an Index of Neighborhood Sustainability Across Domains |
| Session 2 | Vatricia Edgar, Cecilia LaPlace, Julia Schmidt, Ajay Bansal, Srividya Bansal: |
| Friday 9:00 AM – 5:00 PM Tentative Schedule below, please visit http://www.aidm-conf.org/ for the latest details. | |
| aiDM | Keynote 1 – Data Discovery and Schema Inference Over Data Lakes |
| Session 1 | Prof. Renee Miller, University Distinguished Professor of Computer Science, Northeastern University |
| aiDM | Best of Both Worlds: Combining Traditional and Machine Learning Models for Cardinality Estimation, Lucas Woltmann |
| Session 2 | Claudio Hartmann, Dirk Habich, and Wolfgang Lehner |
| aiDM | Automated Tuning of Query Degree of Parallelism via Machine Learning |
| Session 2 | Zhiwei Fan, Rathijit Sen, Paraschos Koutris, and Aws Albarghouthi (25 minute presentation) |
| aiDM | Research Challenges in Deep Reinforcement Learning-based Join Query Optimization |
| Session 2 | Runsheng Guo and Khuzaima Daudjee (25 minute presentation) |
| aiDM | Keynote 2 – Detonating Enterprise Applications with AI |
| Session 3 | Griffin Chronis, Chief Algorithms Officer of Einstein Analytics, Salesforce |
| aiDM | BanditJoin: Learning to Join What Matters |
| Session 4 | Vahid Ghadakchi, Mian Xie, and Arash Termehchy (25 minute presentation) |
| aiDM | RadixSpline: A Single-Pass Learned Index |
| Session 4 | Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann (25 minute presentation) |
| aiDM | PartLy: Learning Data Partitioning for Distributed Data Stream Processing |
| Session 4 | Ahmed Abdelhamid and Walid Aref (25 minute presentation) |