Connectionists: [ICANN 2026] Special Session on Neural Networks for Graphs and Beyond (NN4G+)

[Davide Rigoni]

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CALL FOR PAPERS (ICANN 2026)
Special Session on Neural Networks for Graphs and Beyond (NN4G+)

https://e-nns.org/icann2026/neural-networks-for-graphs-and-beyond-nn4g-2026/

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This special session at ICANN 2026 aims to bring together cutting-edge
research and new ideas in neural networks and machine learning models for
graphs. We encourage the submission of works that address open challenges
by advancing both theoretical investigations and practical applications.

The special session contributions will be published as part of the ICANN
2026 proceedings in the Springer Lecture Notes in Computer Science (LNCS)
series, indexed as a peer-reviewed publication in the Web of Science.


****** Important Dates ******
-> Deadline for full paper and extended abstract submission: 16 March 2026
-> Notification of acceptance: 29 May 2026
-> Camera-ready upload: 29 June 2026
-> Author registration and early registration at early rate: 29 June 2026
-> Conference dates: 14-17 September 2026


****** Topics ******
Topics of interest to this session include, but are not limited to:
-> Graph neural networks based on convolutional, recurrent, and transformer
architectures
-> Temporal and dynamic graphs
-> Relational inference, heterogeneous graphs
-> Graph pooling, graph structure learning
-> Open problems in representation learning, e.g. over-smoothing,
over-squashing, heterophily
-> Graph learning for time series, including data imputation
-> Theory of graph learning
-> Graph signal processing, including spectral methods for analysis and
design
-> Trustworthy AI for graph learning, including explainability (XAI),
robustness, reliability
-> Graph-based methodologies for pattern recognition
-> Other methods for learning on graphs, including kernel-based approaches
-> Datasets and benchmarks for learning on graphs
-> Applications of graph learning, including:

    -> Chemistry and biology, e.g. toxicology, protein interactions

    -> Graph learning on brain data
    -> Social sciences, social networks
    -> Graph learning for ecology
    -> Knowledge engineering and discovery
    -> Sensor networks and IoT applications
    -> … and many more!


****** Submission instructions ******
Submit your contribution using the instructions provided at
https://e-nns.org/icann2026/submission on the conference management system.
Select the “Special Session on Neural Networks for Graphs and Beyond” track
on Microsoft CMT.
We follow a double-blind review process.
At least one author must register and attend the conference in-person.

****** Call for Reviewers ******
Please volunteer as a reviewer to help us ensure the quality of the papers
presented at this special session. Apply here:

https://docs.google.com/forms/d/e/1FAIpQLScsKBhZRjEr1aK0V7Ab1G8pfKobiqZiKOX8MF3wwg639fLfOQ/viewform

****** Session Organisers ******
-> Assandro Sperduti, University of Padova, Italy
-> Benoit Gaüzère, INSA Rouen Normandie, France
-> Caterina Graziani, University of Siena, Italy
-> Davide Rigoni, University of Padova, Italy
-> Domenico Tortorella, University of Pisa, Italy
-> Filippo Maria Bianchi, UiT the Arctic University of Norway
-> Matteo Tolloso, University of Pisa, Italy
-> Sara Bacconi, University of Siena, Italy
-> Vincenzo Carletti, University of Salerno, Italy
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