Final call: 3rd GCLR workshop at AAAI 2023

[kumart...@gmail.com]

Dear all,

The 3rd Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) will be held in conjunction with AAAI 2023.

Website: https://sites.google.com/view/gclr2023/

Submission deadline: Nov 4, 2022 (23:59 Pacific Time)

Submission portal: https://cmt3.research.microsoft.com/GCLR2023/Submission/Index

Important Dates

• Poster/Short/Position Paper Submission Deadline: Nov 4, 2022 (Pacific Time)
• Full Paper Submission Deadline: Nov 4, 2022 (Pacific Time)
• Paper Notification: Nov 18, 2022

Call for submissions:
We invite submissions from participants who can contribute to the theory and applications of modelling complex graph structures such as hypergraphs, multilayer networks, knowledge graphs, etc. The topics of interest include, but are not limited to, the following:

·  Constraint satisfaction and programming (CP), (inductive) logic programming (LP and ILP)

·  Learning with Multi-relational graphs (alignment, knowledge graph construction, completion, reasoning with knowledge graphs, etc.)

·  Learning with algebraic or combinatorial structure

·  Link analysis/prediction, node classification, clustering for complex graph structures

·  Network representation learning

·  Theoretical analysis of graph algorithms or models

·  Optimization methods for graphs/manifolds

·  Probabilistic and graphical models for structured data

·  Social network analysis and measures

·  Unsupervised graph/manifold embedding methods

Submission Guidelines

We invite submissions to the AAAI workshop on Learning and Reasoning with Complex Graphs to be held virtually. We welcome submissions in the following two formats:

• Poster/Short/Position paper: We encourage participants to submit preliminary but interesting ideas that have not been published before. These submissions would benefit from additional exposure and discussion that can shape a better future publication. We also invite papers that have been published at other venues to spark discussions and foster new collaborations. Submissions may consist of up to 4 pages plus one additional page solely for references.
• Full papers: Submissions must represent original material that has not appeared elsewhere for publication, and that is not under review for another refereed publication. Submissions may consist of up to 7 pages of technical content plus up to two additional pages solely for references.

The submissions should adhere to the AAAI paper guidelines. Submission portal: https://cmt3.research.microsoft.com/GCLR2023/Submission/Index

Accepted submissions will have the option of being published on the workshop website. For authors who do not wish their papers to be posted online, please mention this in the workshop submission. The submissions need NOT be anonymized. 

About the workshop:

Aim and scope: The study of complex graphs is a highly interdisciplinary field that aims to study complex systems by using mathematical models, physical laws, inference and learning algorithms, etc. Complex systems are often characterized by several components that interact in multiple ways among each other. Such systems are better modeled by complex graph structures such as edge and vertex labelled graphs (e.g., knowledge graphs), attributed graphs, multilayer graphs, hypergraphs, etc. In this 2nd instance of GCLR (Graphs and more Complex structures for Learning and Reasoning) workshop, we will focus on various complex structures along with inference and learning algorithms for these structures. The current research in this area is focused on extending existing ML algorithms as well as network science measures to these complex structures. This workshop aims to bring researchers from these diverse but related fields together and embark interesting discussions on new challenging applications that require complex system modeling and discovering ingenious reasoning methods. We have invited several distinguished speakers with their research interest spanning from the theoretical to experimental aspects of complex networks.

Attendance

Attendance is open to all. For registration, please refer to the registration guidelines by AAAI-23. Accepted papers will be presented in poster format and some will be selected for oral presentation. At least one author of each accepted submission must be present at the workshop.

Organizing Committee: 

• Organizers:
  • Tarun Kumar (Hewlett Packard Labs)
  • Deepak Maurya (Purdue University)
  • Anasua Mitra (IIT Guwahati)
• Advisors:
  • Balaraman Ravindran (IIT Madras)
  • Ginestra Bianconi (Queen Mary University of London)
  • Philip S. Chodrow (Middlebury College)
  • Srinivasan Parthasarathy (Ohio State University)
    

Contact: 

Please direct all questions to gclr...@gmail.com. Please follow us at https://twitter.com/GclrW for more updates. 

Regards,

GCLR 2023 Organizers