September, 6th
| 09:00 – 09:30 | Registration |
| 09:30 – 10:00 | Opening |
| 10:00 – 11:00 | Session 1 – Chair: Vincenzo Carletti |
| Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai and Edwin Hancock “C2N-ABDP: Cluster-to-Node Attention-based Differentiable Pooling“ Stevan Stanovic, Benoit Gaüzère and Luc Brun “Maximal Independent Sets for Pooling in Graph Neural Networks” | |
| 11:00 – 11:30 | Coffee break |
| 11:30 – 13:00 | Session 2 – Chair: Benoit Gaüzère |
| Jiaqi Zhang and Cheng-Lin Liu and Xiaoyi Jiang “Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification” Domenico Tortorella and Alessio Micheli “Minimum Spanning Set Selection in Graph Kernels” Aymen Ourdjini and Abd Errahmane Kiouche and Hamida Seba “An Efficient Entropy-based Graph Kernel” | |
| 13:00 – 14:30 | Lunch break |
| 14:30 – 15:30 | Invited speaker: Francesc Serratosa “Face to face: Graphs and Biotechnology“ |
| 15:30 – 16:00 | PhD & OpenLab |
| 19:00 | GBR 2023 Sunset Welcome Cocktail Party |
September, 7th
| 09:00 – 10:00 | Invited speaker: Walter G. Kropatsch “From LBP on Graphs to Slopes in Images” |
| 10:00 – 11:00 | PhD & OpenLab |
| 11:00 – 11:30 | Coffee break |
| 11:30 – 13:00 | Session 3 – Chair: Francesc Serratosa |
| Anthony Gillioz and Kaspar Riesen “Graph-based vs. Vector-based Classification: A Fair Comparison” Filip Malmberg and Alexandre X. Falcão “A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs” Majid Banaeyan and Walter G. Kropatsch “Reducing the Computational Complexity of the Eccentricity Transform” | |
| 13:00 – 14:30 | Lunch break |
| 14:30 – 16:30 | Session 4 – Chair: Walter Kropatsch |
| Vincenzo Carletti, Pasquale Foggia and Mario Vento “Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks” Axel Andersson, Andrea Behanova, Carolina Wählby and Filip Malmberg “Cell segmentation of in situ transcriptomics data using signed graph partitioning” Tomasz Tarasiewicz and Michal Kawulok “Graph-based representation for multi-image super-resolution” Benjamin Fankhauser, Vidushi Bigler and Kaspar Riesen “Graph-Based Deep Learning on the Swiss River Network” | |
| 16:30 – 19:00 | Visit to the Benedictine Abbey of the Holy Trinity |
| 21:00 | Gala Dinner on the Lloyd’s Baia Beach restaurant |
September, 8th
| 09:00 – 11:00 | Session 5 – Chair: Luc Brun |
| Mariana de Araujo Souza, Robert Sabourin, George Darmiton da Cunha Cavalcanti and Rafael Menelau Oliveira E Cruz “GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network“ Sarah Fadlallah, Natàlia Segura Alabart, Carme Julià and Francesc Serratosa “Splitting Structural and Semantic Knowledge in Graph Autoencoders for Graph Regression“ Clément Glédel, Benoit Gaüzère and Paul Honeine “Graph Normalizing Flows to Pre-image Free Machine Learning for Regression“ Mathias Fuchs and Kaspar Riesen “Matching-Graphs for Building Classification Ensembles“ | |
| 11:00 – 11:30 | Coffee break |
| 11:30 – 13:00 | TC15 Meeting & Closing |
| 13:00 – 20:00 | Travel to Amalfi |