Deadline extended for GRADES-NDA Workshop at SIGMOD/PODS 2024

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*EXTENDED DEADLINES* for

GRADES-NDA 2024
7th Joint Workshop on Graph Data Management Experiences & Systems
(GRADES) and Network Data Analytics (NDA)

In conjunction with SIGMOD/PODS 2024.
Friday June 14, Santiago, Chile.

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


Deadlines (extended!): March 15, 2024 (Abstracts), March 22, 2024
(Papers)
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*** FOCUS AND GOALS ***

The GRADES-NDA workshop focuses on 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, 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
addressing domain-specific challenges 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 ***

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)


*** IMPORTANT DATES ***

* Abstract Submission: March 15, 2024 (extended)

* Paper Submission: March 22, 2024 (extended)

* Notifications: April 19, 2024 (extended)

* Camera Ready Submission: May 3, 2024 (extended)

* Workshop Date: June 14, 2024

All deadlines are 23:59 Hours AoE


*** WORKSHOP ORGANIZERS ***

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

Contact email: gradesnda2024@easychair.org


*** STEERING COMMIITTEE ***

Semih Salihoglu, University of Waterloo, Canada
Vasiliki Kalavri, Boston University, US
Akhil Arora, EPFL, Switzerland
George Fletcher, TU Eindhoven, The Netherlands


*** FURTHER DETAILS ***

More information, including submission guidelines, can be found on the
workshop website:

https://gradesnda.github.io/

Received on Saturday, 9 March 2024 12:31:43 UTC