COMPLEX NETWORKS 2026 – Call for Contributions on Graph Machine Learning and Networked Data

[hocine....@gmail.com]

Dear colleagues,

As General Co-Chair of COMPLEX NETWORKS 2026, I am pleased to invite submissions to the 15th International Conference on Complex Networks and Their Applications, which will take place in Granada, Spain, from December 2–4, 2026, with tutorials on December 1.

COMPLEX NETWORKS has become a strongly interdisciplinary venue connecting network science, graph machine learning, data mining, complex systems, and applications. For researchers working on graph-based learning, it offers an excellent opportunity to present methods in dialogue with communities studying real-world networked systems.

We particularly welcome contributions on graph neural networks, graph representation learning, graph foundation models, network embeddings, link prediction, graph mining, temporal and dynamic graphs, multilayer and heterogeneous networks, knowledge graphs, explainable graph learning, and machine learning for complex network data.

Granada, with its exceptional historical heritage and vibrant academic atmosphere, will provide an inspiring setting for scientific exchange. The program will feature keynote lectures by Alexandra Brintrup, Nitesh Chawla, Kimmo Kaski, Bruno Lepri, and Eckehard Schöll, as well as tutorials by Fariba Karimi and Huijuan Wang.

Submissions are invited as full papers for the Springer proceedings and as extended abstracts for presentation at the conference. Selected contributions will also be considered for journal special issues.

Submission deadline: September 2, 2026
Website: https://complexnetworks.org/
Submission: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2026/

We warmly invite you to join us in Granada and contribute to making this 15th edition a memorable gathering for the community.

Best regards,
Hocine Cherifi
General Co-Chair, COMPLEX NETWORKS 2026