GRADES-NDA 2020: GRADES-NDA 2020: SIGMOD/PODS Workshop on Graph Data Management Experiences & Systems and Network Data Analytics SIGMOD/PODS 2020 Portland, OR, United States, June 14, 2020 |
Conference website | https://gradesnda.github.io/ |
Submission link | https://easychair.org/conferences/?conf=gradesnda2020 |
Submission deadline | March 23, 2020 |
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.
Keynote Speakers
- Yizhou Sun (UCLA)
- Katja Hose (Aalborg University)
Submission Guidelines
Authors are invited to submit original, unpublished research papers (full and short), demonstrations and case-studies.
Submissions must follow the latest 2-column ACM Master article "sigconf" proceedings LaTeX template, and should be double-blind. Details on the Anonymity requirements for submitted manuscripts are present at the SIGMOD 2020 Call for Papers page.
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.
List of Topics
- 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
Committees
Organizing Committee
- Akhil Arora, EPFL
- Semih Salihoglu, University of Waterloo
- Nikolay Yakovets, TU Eindhoven
Steering Committee
- Arnab Bhattacharya, IIT Kanpur
- Tina Eliassi-Rad, Northeastern University
- George Fletcher, TU Eindhoven
Publication
GRADES-NDA 2020 proceedings will be published in by ACM.
Venue
The conference will be held in Portland, OR, USA on 14th June, 2020.
Sponsors
- Neo4j
- TigerGraph
- Alibaba
- IBM
- SAP
- SIGMOD