Special Session (ESANN 2021)
Deep Learning for Graphs
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021).
6-8 October 2021, Bruges, Belgium - http://www.esann.org
Graphs are very flexible data structures that can be used to represent, at the same time, entities and the relationships among them. Graphs can describe networks of interacting elements, e.g. in social graphs or metabolomics, as well as data where topological variations influence the feature of interest, such as molecular compounds.
Data-driven processing and adaptive learning on structured data has a long-standing history but it has recently grown to become one of the most active research topics in the deep learning field.
This special session solicits contributions on the general topic of deep learning for graphs including wide themes such as graph representation learning, graph generation, interpretability of deep graph networks, learning for graphs as a means to integrate symbolic-subsymbolic information. We welcome works focusing on methodological advances, theoretical works, and also impacting applications of deep learning for graphs.
TOPICS OF INTEREST (non-exhaustive):
Deep learning and representation learning for graphs
Learning with network data
Learning with knowledge graphs and symbolic-subsymbolic integration
Graph coarsening and pooling
Deep graph networks and combinatorial algorithms/problems
Interpretable models for graphs
Randomized neural networks for relational data
Relational deep learning
Applications of learning for graphs: e.g. Natural language processing, machine vision, materials science, chemoinformatics, computational biology, social networks, federated learning, recommendation systems.
Prospective authors must submit their paper through the ESANN portal following the instructions provided in www.esann.org. Each paper will undergo a peer reviewing process for its acceptance.
Submission of papers: 10 May 2021
Notification of acceptance: 20 July 2019
ESANN conference: 6-8 April 2019
SPECIAL SESSION ORGANISERS
Davide Bacciu (Università di Pisa, Italy)
Filippo Maria Bianchi (UiT the Arctic University of Norway)
Benjamin Paassen (The University of Sydney, Australia)
Cesare Alippi (Università della Svizzera italiana, Switzerland)