Call for Papers : the GRAPH-QUALITY Workshop
Co-located with ECML-PKDD, September 2022.
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
- Novel research papers
- Work-in-progress papers
- Visionary papers (white papers)
- Appraisal papers of existing methods and tools (e.g., lessons learned)
- Relevant work that has been (partially) published previously
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 here). 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. The submission is done via EasyChair: easychair dedicated page.
