7th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)
Co-located with SIGMOD/PODS 2024 (June 14, 2024, Santiago, Chile)

The goal of GRADES-NDA is to bring together researchers from academia, industry, and government to create a forum for discussing recent advances in (large-scale) graph data management and graph analytics systems, as well as propose and discuss novel methods and techniques towards addressing domain-specific challenges in real-world graphs.

Call for Papers

The goal of GRADES-NDA is to bring together researchers from academia, industry, and government (1) to create a forum for discussing recent advances in (large-scale) graph data management and graph analytics systems, as well as propose and discuss novel methods and techniques towards (2) addressing domain-specific challenges or (3) handling noise in real-world graphs.

The workshop will be of interest to researchers in the development of novel data-management applications and systems for large-scale graph analytics. More specifically, the intended audience are, but not limited to, academic and industrial computer scientists interested in databases and data mining, machine learning, data streaming, graph theory and algorithms. Along with novel research work, we encourage submissions with demonstrations and case studies from real-life experiences in various domains such as Social Networks, Biological Network Data, Marketing and Media, Business Data Analysis, Healthcare Data, Cybersecurity etc.

Topics of interest include but are not limited to the following.

  • Graph query languages, visualization techniques and querying interfaces, and their effective realization
  • Graph platform and parallel platforms, e.g., Flink/Gelly, Titan, SPARK/GraphX, GraphLab/PowerGraph, Giraph, GraphChi etc.
  • Network data representation, storage, indexing and querying methods.
  • Experiences or techniques for graph specific operations such as traversals or inference/reasoning in the context of large data sets and on the systems that implement those operations.
  • RDF data management and analytics
  • Dynamic Graphs: managing graph updates; graph stream analytics; analyzing evolution and detection of community structures in real-world evolving graphs
  • Mining and machine learning on heterogeneous networks -- knowledge graphs etc.
  • Graph summarization and sampling
  • Game Theory, Social contagion and Information propagation on networks
  • Analytics on dirty, noisy, or uncertain graphs
  • Spatial and temporal graph analytics
  • Analytics on social, biological, retail, marketing, customer care, financial, healthcare, transportation network data sets
  • Descriptions of graph data management use cases and query workloads, and experiences with applying data management technologies in such situations
  • Vision and systems papers describing potential or real applications and benefits of graph management, in particular (but not only) in the age of large language models (LLMs)

Accepted papers will be published by ACM, indexed by DBLP, and will be available in the ACM DL.

Important Dates

  • Abstract Submission: March 8 March 15, 2024
  • Paper Submission: March 15 March 22, 2024
  • Notifications: April 19, 2024
  • Camera Ready Submission: May 3, 2024
  • Workshop Date: June 14, 2024

All deadlines are 23:59 Hours AoE

Workshop Organizers

  • Olaf Hartig, Amazon Web Services & Linköping University, Sweden
  • Zoi Kaoudi, IT University of Copenhagen, Denmark

Steering Committee

Paper Submission

Authors are invited to submit original, unpublished research papers (full and short), demonstrations and case-studies.

Submissions must follow the latest 2-column ACM Proceedings format using the latest ACM Primary Article Template, and have to be anonymous.

Reviewing will be double-anonymous, for which the submissions must be anonymized by following the same anonymity requirements as for regular track papers at the SIGMOD 2024 conference. Use the following latex command to compile your paper without author names: \documentclass[sigconf, anonymous, review]{acmart}.

Length Requirements:

  • Full papers should be a maximum of 8 pages in length, excluding references and appendix.
  • Case studies should be a maximum of 4 pages in length, excluding references and appendix.
  • Short papers and demonstration papers should be a maximum of 4 pages in length, excluding references and appendix.

Submissions that do not follow these requirements will be rejected immediately.


Submissions will be handled through Easychair. To submit click here.

Past Workshops

GRADES-NDA is in its seventh edition, and had successful joint meetings co-located with ACM SIGMOD/PODS from 2018 to 2023. Specifically, it is the merger of the GRADES and NDA workshops, which were each independently organized and successfully held at previous ACM SIGMOD/PODS conferences, GRADES since 2013 and NDA since 2016. The organizers of GRADES and NDA mutually agreed upon to aim for a joint meeting from 2018 onwards.

Get in touch

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