posted by user: Largeron || 1750 views || tracked by 6 users: [display]

GRAPH-QUALITY@ECML-PKDD 2022 : GRAPH-QUALITY Workshop Co-located with ECML-PKDD

FacebookTwitterLinkedInGoogle

Link: https://graphquality.github.io/
 
When Sep 23, 2022 - Sep 23, 2022
Where Grenoble, France
Submission Deadline Jun 30, 2022
Notification Due Jul 18, 2022
Final Version Due Aug 12, 2022
Categories    data mining   machine learning
 

Call For Papers

Call For Papers: GRAPH-QUALITY Workshop Co-located with ECML-PKDD, 23 September 2022

https://graphquality.github.io/

******************************************************************************************

[Please accept our apologies if you receive multiple copies of this Call for Papers (CFP)]

The GRAPH-QUALITY Workshop at ECML-PKDD 2022 aims to explore the theoretical and practical aspects of quality of data, models and evaluation in the context of graph-based data mining and machine learning. We invite contributions in the area of Data and Model Quality for Mining and Learning with relational data (measures, algorithms, models, tools, evaluations, etc.) to be presented at the GRAPH-QUALITY workshop which is to be held at the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery from Data (ECML-PKDD), in Grenoble, France - 23 September 2022.

Topics of interests

Anomaly detection on graphs
Assessment of fairness and bias in the context of graphs, graph models (including representations), and subsequent tasks such as link prediction
Explainable graph models and predictions
Graph models and representations learning in the context of missing data and noise
Privacy preserving data mining and machine learning for relational data
Probabilistic methods and uncertainty estimation on networks
Algorithms and metrics for quality preservation on relational data

Submission Information

All papers will be peer-reviewed single-blind. We welcome many kinds of papers, such as (and not limited to):

Novel research papers
Work-in-progress papers
Vision and position papers
Appraisal papers of existing methods and tools (e.g., evaluations, lessons learned)

Authors should indicate in their abstract the kind of submissions that the paper belongs to, to help reviewers better understand their contributions. Submissions must be in PDF, written in English and formatted according to the single-column CEUR-ART style (downloadable at http://ceur-ws.org/Vol-XXX/CEURART.zip). Novel research papers should be 10 to 16 pages (including references), work-in-progress, vision/position, and appraisal papers should be 6-10 pages (including references). Accepted papers will be presented as a poster in the poster sessions and a few will be selected to also give an oral presentation.

Authors may opt-in to have their paper possibly published in workshop proceedings at CEUR-WS. All papers will be posted on the workshop website. The proceedings containing the opt-in papers will be submitted for inclusion to CEUR-WS. Assuming a sufficient number of high-quality papers, the proceedings are likely to be accepted, but conforming to CEUR-WS policy it cannot guarantee beforehand that the proceedings will indeed be published. Papers in the CEUR-WS series are published Open Access, without fee, under the CC-BY 4.0 licence (exceptions for Crown or US government employees). You as the author remain to hold the copyright.

For accepted papers, at least one author must register for the conference and attend the workshop in-person to present the work.

Submit via EasyChair: https://easychair.org/my/conference?conf=graphquality2022

Important Dates

Submission: June 30, 2022

Notification: July 18, 2022

Early registration deadline for the conference: July 22, 2022

Camera-ready: August 12, 2022

Programme and papers online: Monday 5 Sep 2022

Workshop date: September 23, 2022

Futher information and Contact

Organizers: Nidhi Hegde, Christine Largeron, Jefrey Lijffijt, Osmar R. Zaïane

Website URL: https://graphquality.github.io/

E-mail: graphquality22@gmail.com

Related Resources

ECML-PKDD 2024   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ECAI 2024   27th European Conference on Artificial Intelligence
ADMA 2024   20th International Conference Advanced Data Mining and Applications
AIM@EPIA 2024   Artificial Intelligence in Medicine
GRAPH-HOC 2024   16th International Conference on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks
ICDM 2024   IEEE International Conference on Data Mining
GRAPH-HOC 2024   16th International Conference on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks
ICMLA 2024   23rd International Conference on Machine Learning and Applications
ICDD 2024   International Conference on Applied Informatics Imagination, Creativity, Design, Development
Complex Networks 2024   13 th International Conference on Complex Networks & Their Applications