GCLR 2023: 3rd Workshop on Graphs and more Complex Structures for Learning and Reasoning |
Website | https://sites.google.com/view/gclr2023 |
Abstract registration deadline | October 28, 2022 |
Submission deadline | October 28, 2022 |
3rd Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2023
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 labeled graphs (e.g., knowledge graphs), attributed graphs, multilayer graphs, hypergraphs, temporal/dynamic graphs, etc. In this 3rd instance of the 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 on interesting discussions on new challenging applications that require complex system modeling and discovering ingenious reasoning methods. We have invited several distinguished speakers with research interests spanning from the theoretical to experimental aspects of complex networks.
Call For Papers
We invite submissions from participants who can contribute to the theory and applications of modeling complex graph structures such as hypergraphs, multilayer networks, multi-relational graphs, heterogeneous information networks, multi-modal graphs, signed networks, bipartite networks, temporal/dynamic graphs, etc. The topics of interest include, but are not limited to:
- 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, graph 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
The papers will be presented in poster format and some will be selected for oral presentation. Through invited talks and presentations by the participants, this workshop will bring together current advances in Network Science as well as Machine Learning and set the stage for continuing interdisciplinary research discussions.
Submission Guidelines
We invite submissions to the AAAI-23 workshop on Graphs and more Complex structures for Learning and Reasoning to be held on February 13 or 14, 2023. We welcome the submissions in the following two formats:
- Poster/short/position papers: We encourage participants to submit preliminary but interesting ideas that have not been published before as short papers. 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 available at (https://aaai.org/Conferences/AAAI-23/aaai23call/)
Accepted submissions will have the option of being posted online 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 to be anonymized.
- See the webpage https://sites.google.com/view/gclr2023/submissions for detailed instructions and submission link.
Important Dates
- Poster/ short/ position papers submission deadline: Oct 28, 2022
- Full paper submission deadline: Oct 28, 2022
- Paper notification: Nov 18, 2022
Committees
Workshop Chair
Balaraman Ravindran, Affiliation: Indian Institute of Technology Madras, India, Email: ravi@cse.iitm.ac.in
Workshop Committee
- Balaraman Ravindran, Indian Institute of Technology Madras, India | Primary Contact (ravi@cse.iitm.ac.in)
- Ginestra Bianconi, Queen Mary University of London, UK (ginestra.bianconi@gmail.com)
- Philip S. Chodrow, Middlebury College, USA (pchodrow@middlebury.edu)
- Srinivasan Parthasarathy, Ohio State University, USA (srini@cse.ohio-state.edu)
- Tarun Kumar, Hewlett Packard Labs, Bengaluru, India (tarun.kumar2@hpe.com)
- Deepak Maurya, Purdue University, India (dmaurya@purdue.edu)
- Anasua Mitra, IIT Guwahati, India (anasua.mitra@iitg.ac.in)
Information about the Workshop: GCLR 2023
Workshop URL: https://sites.google.com/view/gclr2023/
Format of the workshop: This is a 1-day workshop involving talks by pioneer researchers from respective areas, poster presentations, and short talks of accepted papers.
Attendance: The eligibility criteria for attending the workshop will be registration in the conference/workshop as per AAAI norms. We expect 50-65 people in the workshop.
Contact
All questions about submissions should be emailed to: gclr2023@gmail.com