Welcome to the 1st Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) 2018

Co-located with the ACM SIGMOD International Conference on Management of Data 2018 at Houston, Texas, USA
Workshop Date: Sunday, June 10, 2018
  • We are excited to announce that Amol Deshpande (Professor, University of Maryland College Park) and Xin Luna Dong (Principal Scientist, Amazon) will be the keynote speakers!
  • Our Program Committee has accepted six full, two short and two demo papers. See our workshop program!
  • For Registration, please see the SIGMOD/PODS Conference and Workshop registration page. Online Registration Closes 10th May (Early) and 31st May (Late). Hurry Up!
  • Workshop proceedings have been published by ACM. Access the GRADES-NDA 2018 Proceedings!


The focus of the GRADES-NDA 2018 workshop is the application areas, usage scenarios and open challenges in managing large-scale graph-shaped data. The workshop is a forum for exchanging ideas and methods for mining, querying and learning with real-world network data, developing new common understandings of the problems at hand, sharing of data sets and benchmarks where applicable, and leveraging existing knowledge from different disciplines. Additionally, considering specific techniques (e.g., algorithms, data/index structures) in the context of the systems that implement them, rather than describing them in isolation, GRADES-NDA aims to present technical contributions inside graph, RDF and other data management systems on graphs of a large size (many millions of nodes and beyond).

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 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.

submit now

Important Dates

  • Abstract Submission : March 9, 2018
  • Paper Submission : March 16, 2018
  • Notifications : April 13, 2018 (before SIGMOD early registration deadline)
  • Camera Ready Submission : May 4, 2018
  • Workshop Date : June 10, 2018
  • All deadlines are 23:59 Hours AoE

Workshop Organizers

Akhil Arora, American Express Big Data Labs
Arnab BhattacharyaIIT Kanpur
George Fletcher,
TU Eindhoven
Josep Lluis Larriba Pey, UPC
Shourya Roy, American Express Big Data Labs