Special Session on Foundation and Generative Models for Graphs at ESANN 2025
Join the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2025) for a special session on Foundation and Generative Models for Graphs. Submit your papers by 27 November 2024 and join the conference on 23-25 April 2025 to explore the latest advancements in deep learning for graphs.
The European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2025) announces a special session on Foundation and Generative Models for Graphs. This special session aims to gather valuable contributions and new findings in the field of deep learning for graphs. The session will emphasize the integration of foundation and generative models to enhance the creation and manipulation of graph-structured data, opening new possibilities in areas such as molecular and material design.
Important dates for paper submissions and notifications are 27 November 2024 and 24 January 2025, respectively. The conference will take place on 23-25 April 2025. Topics of interest include architectures for foundation models operating on graphs, graph generation, graph representation learning, and graph structure learning and relational inference, among others. The session will be organized by experts from the University of Padua, NEC Laboratories Europe, Swiss AI Lab IDSIA, and the University of Pisa.
Tags: ESANN 2025, Special Session, Foundation and Generative Models for Graphs, Deep Learning for Graphs, Graph-structured Data, Molecular and Material Design, Machine Learning, Artificial Neural Networks, Computational Intelligence