Call for papers


4th Joint SIGMOD Workshop on 
Graph Data Management Experiences & Systems (GRADES) 
Network Data Analytics (NDA)

Collocated with SIGMOD-PODS 2021
Sunday, June 20, 2021

Website: https://gradesnda.github.io/

Paper Submission: March 22, 2021 

Keynote Speakers
To Be Announced

Workshop Goals
The focus of the GRADES-NDA 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.

Workshop Topics
The 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

Important Dates
Paper Submission: March 22, 2021
Notifications: April 12, 2021
Camera Ready Submission: April 26, 2021
Workshop Date : June 20, 2021

All deadlines are 23:59 Hours AoE

Workshop Organizers
Vasiliki Kalavri, Boston University
Nikolay Yakovets, TU Eindhoven

Steering Committee
Arnab Bhattacharya, IIT Kanpur
George Fletcher, TU Eindhoven
Tina Eliassi-Rad, Northeastern University

Further Details
More information, including our fantastic program committee, exciting keynote speakers, and submission guidelines, can be found on the workshop website: