- Dates
- Keynote Speakers
- Call for Papers
- Tentative Schedule
- Organizers and PC
- Previous Workshops
21st International Workshop on
Mining and Learning with Graphs
9th or 13th September (2024), Vilnius, jointly with ECMLPKDD2024
Tentative Dates
- Paper submission deadline: 15.06.2024
- Acceptance notification: 15.07.2024
- Workshop date 9. or 13.09.2024
Keynote Speakers
Call for Papers
This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia and industry to create a forum for discussing recent advances in graph analysis.
In doing so, we aim to understand better the overarching principles and the limitations of current methods and to inspire research on new algorithms and techniques for mining and learning with graphs.
To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation to applications and empirical studies.
We are interested in the full spectrum of graph data, including but not limited to attributed graphs, labeled graphs, knowledge graphs, evolving graphs, transactional graph databases, etc.
We therefore invite submissions on theoretical aspects, algorithms and methods, and applications of the following (non-exhaustive) list of areas:
- Computational or statistical learning theory related to graphs
- Theoretical analysis of graph algorithms or models
- Semi-supervised learning, online learning, active learning, transductive inference, and transfer learning in the context of graphs
- Unsupervised learning and graph clustering
- Interesting pattern mining on graphs and community detection
- Graph kernels and metric learning on graphs
- Graph and vertex embeddings and representation learning on graphs
- Solving combinatorial problems on graphs with ML / data-driven combinatorial optimization
- Explainable, fair, robust, and/or privacy-preserving ML on graphs
- Statistical models of graphs and graph sampling
- Analysis of social media, chemical or biological networks, infrastructure networks, knowledge graphs
- Benchmarking aspects of graph-based learning
- Libraries and tools for all of the above areas
We welcome many kinds of papers, such as, but not limited to:
- Novel research papers
- Demo papers
- Dataset 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 previously published
- Work that will be presented at the main conference (can be submitted with the regular 16-page limit of ECMLPKDD)
Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions.
All papers will be peer-reviewed (single-blind).
Submissions must be in PDF, long papers no more than 12 pages long, short papers no more than 8 pages long, formatted according to the standard Springer LNCS style required for ECMLPKDD submissions.
The accepted papers will be published on the workshop’s website and will not be considered archival for resubmission purposes.
Authors whose papers are accepted to the workshop will have the opportunity to participate in a pitch and poster session, and the best four will also be chosen for oral presentation.
Dual Submission Policy
We accept submissions that are currently under review at other venues.
However, in this case, our page limits apply.
Please also check the dual submission policy of the other venue.
AstraZeneca Healthcare & Bio Track
We are happy to announce the additional Healthcare and Chem/Bio applications track, which is genereously sponsored by AstraZeneca. Authors will have the options to flag if they want to be considered for this track. The graph learning / mining paper that has the most convincing healthcare / chem / bio application will receive an award.
Tentative Schedule
9.00h | introduction |
9.05h | keynote 1 |
10.05h | 1st and 2nd oral talk |
10.30h | coffee break |
11.00h | pitch/introductions talks |
11.20h | poster session (group A) |
12.30h | lunch break |
13.50h | 3rd and 4th oral talk |
14.20h | keynote 2 |
15.20h | coffee break |
15.50h | keynote 3 |
16.55h | pitch/introductions talks |
17.15h | poster session (group B) |
18.15h | conclusion and awards |
Program Committee
- Andreas Roth (TU Dortmund)
- Antonio Longa (University of Trento)
- Atsushi Miyauchi (CentAI)
- Bo Kang (Ghent University)
- Caterina Graziani (University of Siena)
- Christoph Sandrock (TU Wien)
- Clara Holzhüter (University of Kassel)
- Corinna Coupette (KTH)
- David B. Blumenthal (FAU)
- Fabian Jogl (TU Wien)
- Fabrizio Frasca (Technion)
- Florian Seiffarth (University of Bonn)
- Franco Scarselli (University of Siena)
- Ghaith Mqawass (University of Vienna)
- Giuseppe Alessio D'Inverno (SISSA)
- Ingo Scholtes (University of Würzburg)
- Jan Ramon (INRIA)
- Jefrey Lijffijt (Ghent University)
- Jilles Vreeken (CISPA)
- Josephine Thomas (University of Kassel)
- Lorenz Kummer (University of Vienna)
- Lovro Šubelj (University of Ljubljana)
- Nicolò Navarin (University of Padova)
- Pascal Plettenberg (University of Kassel)
- Patrick Indri (TU Wien)
- Sagar Malhotra (TU Wien)
- Sebastian Dalleiger (KTH)
- Shota Saito (UCL)
- Silvia Beddar-Wiesing (University of Kassel)
- Sohir Maskey (LMU Munich)
- Stefan Neumann (TU Wien)
- Tamara Drucks (TU Wien)
- Till Schulz (Max Planck Institute of Biochemistry)
- Veronica Lachi (University of Siena)
- Ylli Sadikaj (University of Vienna)
Previous Workshops
- 2023, Torino, Italy (co-located with ECMLPKDD)
- 2023, Long Beach, USA (co-located with KDD)
- 2022, Grenoble, France (co-located with ECMLPKDD)
- 2022, Washington, USA (co-located with KDD)
- 2020, virtual (co-located with KDD)
- 2019, Anchorage, USA (co-located with KDD)
- 2018, London, United Kingdom (co-located with KDD)
- 2017, Halifax, Nova Scotia, Canada (co-located with KDD)
- 2016, San Francisco, USA (co-located with KDD)
- 2013, Chicago, USA (co-located with KDD)
- 2012, Edinburgh, Scotland (co-located with ICML)
- 2011, San Diego, USA (co-located with KDD)
- 2010, Washington, USA (co-located with KDD)
- 2009, Leuven, Belgium (co-located with SRL and ILP)
- 2008, Helsinki, Finland (co-located with ICML)
- 2007, Firenze, Italy
- 2006, Berlin, Germany (co-located with ECML and PKDD)
- 2005, Porto, Portugal, October 7, 2005 (co-located with ECML and PKDD)
- 2004, Pisa, Italy, September 24, 2004 (co-located with ECML and PKDD)
- 2003, Cavtat-Dubrovnik, Croatia (co-located with ECML and PKDD)
This page tries to be minimalistic in layout, bandwith, and used tools. It is hosted on github pages, using neat.css stylesheets, and bibtexparser to generate the lists of papers.