Date : 2022-09-23
Lieu : Grenoble
[Please accept our apologies if you receive multiple copies of this (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
All papers will be peer-reviewed single-blind. We welcome many kinds of papers, such as (and not limited to):
Novel research 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
Submission: June 20, 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/
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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