8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)

Collocated with SIGMOD/PODS 2025 - Berlin, Germany

URL: https://gradesnda.github.io/

Paper Abstract Submission: March 17, 2025

Full Paper Submission: March 22, 2025

The GRADES-NDA workshop explores the challenges, application areas, and usage scenarios of managing large-scale graph-shaped data. It provides a forum for exchanging ideas on mining, querying, and learning from real-world network data, fostering interdisciplinary collaboration, and sharing datasets and benchmarks.

GRADES-NDA brings together researchers from academia, industry, and government to discuss advances in large-scale graph data management and analytics. Its scope covers domain-specific challenges, noise handling in real-world graphs, and innovations in databases, data mining, machine learning, data streaming, network science, and graph algorithms. Case studies across diverse areas are welcome, including Social Networks, Business Analytics, Healthcare, and Cybersecurity.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference.

Submissions must follow the latest 2-column ACM Primary Article Template (Overleaf template), and have to be anonymous.

The following paper categories are welcome:

• Archival : Accepted papers under this category will be published by the ACM, indexed by DBLP, and will be available in the ACM DL.
  • Full papers should be a maximum of 8 pages, excluding references and appendix.
  • Short papers and demonstration papers should be a maximum of 4 pages, excluding references and appendix.
  • Case studies should be a maximum of 4 pages, excluding references and appendix.
• (new!) Non-archival : Accepted papers under this category will not be published in the proceedings, but will be listed on the website.
  • Papers that are suitable for this category are work-in-progress papers presenting early results.These papers should be a maximum of 4 pages in length, excluding references and appendix.

List of Topics

The topics of interest include but are not limited to the following:

• Graph modeling and processing  –  advances in representing, visualizing, storing, indexing, querying, and managing graph data.
• Graph query languages, visualization, and querying interfaces  –  design, usability, practical implementations, and use cases.
• Knowledge Graphs  –  construction, augmentation, reasoning, and neuro-symbolic approaches.
• GenAI techniques –  integration of Knowledge Graphs and LLMs for information retrieval, question answering, knowledge inference, and natural language understanding.
• Graph processing platforms  –  including Titan, Giraph, GraphChi, SPARK/GraphX, GraphLab/PowerGraph, and others.
• Human-centric graph processing  –  interactive approaches for graph data exploration, querying, and analytics.
• Reliable graph data processing – validation and verification techniques for ensuring the trustworthiness of algorithms, query languages, applications, and systems.
• Graph metrics  –  methods for measuring graph characteristics, e.g., diameter, eigenvalues, triangle counting.
• Spatial and temporal graph analytics  –  updates, dynamic graphs, streaming analytics, evolution tracking, point-of-interest recommendation, community structure detection, etc.
• Graph mining and machine learning  –  including heterogeneous networks and knowledge graphs.
• Graph summarization and sampling  –  efficient methods for large-scale data.
• Noisy and uncertain graphs  –  analytics on incomplete, inconsistent, or unreliable data.
• Network dynamics  –  game theory, social contagion, and information propagation.
• Domain-specific graph analytics  –  applications in social networks, biology, business, finance, healthcare, transportation, etc.
• Vision and systems papers  –  potential or real applications of graph management, especially in the era of large language models.

Important Dates

• Abstract Submission: March 17, 2025
• Paper Submission: March 22, 2025
• Notifications: April 18, 2025
• Camera Ready Submission: May 2, 2025

All deadlines are 23:59 AoE.

Student Travel Awards

Thanks to the generous support from our sponsors, we will provide scholarship awards to selected students attending the SIGMOD/PODS conference. The scholarships will include financial support to partially cover the expense for traveling and conference registrations. Awardees are expected to register for the event and will have to make their own arrangements for travel and accommodation. Students whose advisors cannot provide financial support to attend the conference will be given priority. Additionally, students corresponding to underrepresented groups in the SIGMOD community will be given priority to increase diversity.

Committees

Workshop Organisers

• Akhil Arora, Aarhus University & Copenhagen Center for Social Data Science, Denmark
• Stefania Dumbrava, ENSIIE & Télécom SudParis, France

Steering Committee

• Olaf Hartig, Amazon Web Services & Linköping University, Sweden
• Semih Salihoglu, University of Waterloo, Canada
• Vasiliki Kalavri, Boston University, US
• George Fletcher, TU Eindhoven, The Netherlands

All questions about submissions should be emailed to grades-nda@googlegroups.com

Venue

The workshop will be co-located with SIGMOD/PODS at the Intercontinental Berlin.

Further Information

More information, including our fantastic program committee, exciting keynote speakers, and submission guidelines, can be found on the workshop website: https://gradesnda.github.io/