{"id":37,"date":"2022-01-26T15:20:07","date_gmt":"2022-01-26T14:20:07","guid":{"rendered":"https:\/\/mivia.unisa.it\/gbr2023\/?page_id=37"},"modified":"2023-08-28T12:24:32","modified_gmt":"2023-08-28T10:24:32","slug":"program","status":"publish","type":"page","link":"https:\/\/gbr2023.unisa.it\/?page_id=37","title":{"rendered":"Program"},"content":{"rendered":"\n

September, 6th<\/h3>\n\n\n\n
09:00 – 09:30<\/td>Registration<\/strong><\/td><\/tr>
09:30 – 10:00<\/td>Opening<\/strong><\/td><\/tr>
10:00 – 11:00<\/td>Session 1 – Chair: Vincenzo Carletti<\/strong><\/td><\/tr>
<\/td>Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai and Edwin Hancock
“C2N-ABDP: Cluster-to-Node Attention-based Differentiable Pooling<\/em>“

Stevan Stanovic, Benoit Ga\u00fcz\u00e8re and Luc Brun
“Maximal Independent Sets for Pooling in Graph Neural Networks”<\/em><\/td><\/tr>
11:00 – 11:30<\/td>Coffee break<\/strong><\/td><\/tr>
11:30 – 13:00<\/td>Session 2 – Chair: Benoit Ga\u00fcz\u00e8re<\/strong><\/td><\/tr>
<\/td>Jiaqi Zhang and Cheng-Lin Liu and Xiaoyi Jiang
“Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification”<\/em>

Domenico Tortorella and Alessio Micheli
“Minimum Spanning Set Selection in Graph Kernels”<\/em>

Aymen Ourdjini and Abd Errahmane Kiouche and Hamida Seba
“An Efficient Entropy-based Graph Kernel”<\/em><\/td><\/tr>
13:00 – 14:30<\/td>Lunch break<\/strong><\/td><\/tr>
14:30 – 15:30<\/td>Invited speaker: Francesc Serratosa<\/strong>
“Face to face: Graphs and Biotechnology<\/em>“<\/td><\/tr>
15:30 – 16:00<\/td>PhD & OpenLab<\/strong><\/td><\/tr>
19:00<\/td>GBR 2023 Sunset Welcome Cocktail Party<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

September, 7th<\/h3>\n\n\n\n
09:00 – 10:00<\/td>Invited speaker: Walter G. Kropatsch<\/strong>
“From LBP on Graphs to Slopes in Images”<\/em><\/td><\/tr>
10:00 – 11:00<\/td>PhD & OpenLab<\/strong><\/td><\/tr>
11:00 – 11:30<\/td>Coffee break<\/strong><\/td><\/tr>
11:30 – 13:00<\/td>Session 3 – Chair: Francesc Serratosa<\/strong><\/strong><\/td><\/tr>

<\/td>		Anthony Gillioz and Kaspar Riesen
“Graph-based vs. Vector-based Classification: A Fair Comparison”<\/em>

Filip Malmberg and Alexandre X. Falc\u00e3o
“A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs”<\/em>

Majid Banaeyan and Walter G. Kropatsch
“Reducing the Computational Complexity of the Eccentricity Transform”<\/em><\/td><\/tr>
13:00 – 14:30<\/td>Lunch break<\/strong><\/td><\/tr>
14:30 – 16:30<\/td>Session 4 – Chair: Walter Kropatsch<\/strong><\/td><\/tr>
<\/td>Vincenzo Carletti, Pasquale Foggia and Mario Vento
“Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks”<\/em>

Axel Andersson, Andrea Behanova, Carolina W\u00e4hlby and Filip Malmberg
“Cell segmentation of in situ transcriptomics data using signed graph partitioning”<\/em>

Tomasz Tarasiewicz and Michal Kawulok
“Graph-based representation for multi-image super-resolution”<\/em>

Benjamin Fankhauser, Vidushi Bigler and Kaspar Riesen
“Graph-Based Deep Learning on the Swiss River Network”<\/em><\/td><\/tr>
16:30 – 19:00<\/td>Visit to the Benedictine Abbey of the Holy Trinity<\/strong><\/td><\/tr>
21:00<\/td>Gala Dinner on the Lloyd\u2019s Baia Beach restaurant<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

September, 8th<\/h3>\n\n\n\n
09:00 – 11:00<\/td>Session 5 – Chair: Luc Brun<\/strong><\/td><\/tr>
<\/td>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<\/em>“

Sarah Fadlallah, Nat\u00e0lia Segura Alabart, Carme Juli\u00e0 and Francesc Serratosa
“Splitting Structural and Semantic Knowledge in Graph Autoencoders for Graph Regression<\/em>“

Cl\u00e9ment Gl\u00e9del, Benoit Ga\u00fcz\u00e8re and Paul Honeine
“Graph Normalizing Flows to Pre-image Free Machine Learning for Regression<\/em>“

Mathias Fuchs and Kaspar Riesen
“Matching-Graphs for Building Classification Ensembles<\/em>“<\/td><\/tr>
11:00 – 11:30<\/td>Coffee break<\/strong><\/td><\/tr>
11:30 – 13:00<\/td>TC15 Meeting & Closing<\/strong><\/td><\/tr>
13:00 – 20:00<\/td>Travel to Amalfi<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

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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 Ga\u00fcz\u00e8re and Luc Brun “Maximal Independent Sets for Pooling in Graph Neural Networks” 11:00 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/gbr2023.unisa.it\/index.php?rest_route=\/wp\/v2\/pages\/37"}],"collection":[{"href":"https:\/\/gbr2023.unisa.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gbr2023.unisa.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gbr2023.unisa.it\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gbr2023.unisa.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=37"}],"version-history":[{"count":17,"href":"https:\/\/gbr2023.unisa.it\/index.php?rest_route=\/wp\/v2\/pages\/37\/revisions"}],"predecessor-version":[{"id":512,"href":"https:\/\/gbr2023.unisa.it\/index.php?rest_route=\/wp\/v2\/pages\/37\/revisions\/512"}],"wp:attachment":[{"href":"https:\/\/gbr2023.unisa.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=37"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}