IJCNN 2025 Special Session
Graph/Hypergraph Neural Networks for Structural Analysis
IJCNN 2025 Special Session: GNN/HGNN
Paper Submission Deadline: January 30, 2025
Conference Dates: 30 June - 5 July 2025
Venue: Rome, Italy
We will host a special session at IJCNN 2025 titled “Graph/Hypergraph Neural Networks for Structural Analysis.” We warmly welcome your submissions!
Graph learning has emerged as a pivotal technology designed to effectively analyze and process graph-structured data, offering powerful tools to model and understand the nuances of interconnected systems. This special session aims to showcase cutting-edge foundational theories, novel algorithms, and pioneering applications in graph learning, fostering collaboration and knowledge exchange between academia and industry.
By bringing together researchers and practitioners, we seek to address current challenges, share insights, and explore future directions in this rapidly evolving field. We plan to delve into theoretical advancements that enhance the expressiveness, generalization, and convergence properties of graph neural networks. Additionally, the session will highlight innovative algorithms and architectures, including attention-based models, graph transformers, and hybrid approaches that push the boundaries of current methodologies. Our focus extends to practical applications that demonstrate the transformative potential of graph learning across various domains. In bioinformatics and chemistry