Session S1 – Cybersecurity based on Graph Models

• 10:30 – 10:50Resistance Distance Guided Node Injection Attack on Graph Neural Networks
  Wei Xu, Lixiang Xu, Xiaoyi Jiang
• 10:50 – 11:10Advanced Malware Detection in Code Repositories Using Graph Neural Networks
  Malak Gouasmia, Abd Errahmane Kiouche, Hamida Seba
• 11:10 – 11:30A Modular Triple Exchange Co-learning Framework for Anomaly Detection in Scarcely Labeled Graph Data
  Cyril Perosino, Hamida Seba, Walid Megherbi, Mohammed Haddad

Session S2 – Graph-Based Bioinformatics I

• 13:30 – 13:50Graph Neural Network Based on Molecular and Pharmacophoric Features for Drug Design Applications
  Mariana Brito Azevedo, Luc Brun, Pierre Héroux, Jean-Luc Lamotte, Ronan Bureau, Alban Lepailleur
• 13:50 – 14:10Label Modulated Dynamic Graph Convolution for Subcellular Structure Segmentation from Nanoscopy Images
  Ananda S. Chowdhury, Snehendu Majhi, Suyog Jadhav, Krishna Agarwal, Dilip K. Prasad
• 14:10 – 14:30Gene Co-Expression Networks Are Poor Proxies for Expert-Curated Gene Regulatory Networks
  Suryadipto Sarkar, David B. Blumenthal

Session S3 – Graph-Based Bioinformatics II

• 15:00 – 15:20Graph-Based Representations of Almost Constant Graphs for Nanotoxicity Prediction
  Natàlia Segura-Alabart, Francesc Serratosa
• 15:20 – 15:40Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models
  Alexis Imbert, Benoît Gaüzère, Sylvain Takerkart, Guillaume Auzias, Paul Honeine
• 15:40 – 16:00Graph Neural Networks for Multimodal Brain Connectivity Analysis in Multiple Sclerosis
  Merlès Subirà-Cribillers, Jan Solé-Casaramona, Josep Llados, Jordi Casas-Roma

TC15 Meeting

16:15 – 17:30

Session S4 – Graph Similarities and Graph Patterns

• 10:30 – 10:50A Geometric Perspective on Graph Similarity Learning Using Convex Hulls
  Kalvin Dobler, Kaspar Riesen
• 10:50 – 11:10VF-GPU: Exploiting Parallel GPU Architectures to Solve Subgraph Isomorphism
  Vincenzo Carletti, Pasquale Foggia, Mario Vento, Francesco Rosa
• 11:10 – 11:30Grammatical Path Network: Unveiling Cycles Through Path Computation
  Jason Piquenot, Louisa Bouzidi, Maxime Bérar, Pierre Héroux, Jean-Yves Ramel, Romain Raveaux, Sébastien Adam
• 11:30 – 11:50Deep QMiner: Towards a Generalized DeepQ-Learning Approach for Graph Pattern Mining
  Assaad Zeghina, Aurélie Leborgne, Florence Le Ber, Antoine Vacavant

Session S5 – GNN: Shortcomings and Solutions

• 13:30 – 13:50An Empirical Investigation of Shortcuts in Graph Learning
  Domenico Tortorella, Michele Fontanesi, Alessio Micheli, Marco Podda
• 13:50 – 14:10A General Sampling Framework for Graph Convolutional Network Training
  Abderaouf Gacem, Hamida Seba, Mohammed Haddad
• 14:10 – 14:30Fusion of GNN and GBDT Models for Graph and Node Classification
  Muhammad Farhan, Nadeem Iqbal Kajla, Malik Daler Ali Awan, Mickael Coustaty, Muhammad Muzzamil Luqman, Souhail Bakkali
• 14:30 – 14:50Harnessing GraphSAGE for Learning Representations of Massive Dynamic Transactional Networks
  Mihir Tare, Clemens Rattasits, Yiming Wu, Euan Wielewski
• 14:50 – 15:10Entropy-Guided Graph Clustering via Rényi Optimization
  Ahmed Begga, Guglielmo Beretta, Sebastiano Vascon, Francisco Escolano, Miguel-Angel Lozano, Marcello Pelillo

Session S6 – Graph Learning and Computer Vision

• 09:00 – 09:20Exploring a Graph Regression Problem in River Networks
  Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen
• 09:20 – 09:40Saliency Matters: From Nodes to Objects
  Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
• 09:40 – 10:00An Evolution Equation Involving the Generalized Biased Infinity Laplacian on Graphs
  Yassine Belkheiri, Sophie Schupp, Abderrahim Elmoataz

Session S6 – Graph Learning and Computer Vision II

• 10:30 – 10:50Doc2Graph-X: A Multilingual Graph-Based Framework for Form Understanding
  Souparni Mazumder, Sanket Biswas, Alloy Das, Josep Llados
• 10:50 – 11:10VisHubGAT: Visible Connectivity and Hub Nodes for Multimodal Entity Extraction
  Quentin Telnoff, Baglan Aitu, Mickael Coustaty, Fabrice Crohas, Antoine Doucet
• 11:10 – 11:30Lifting Some Secrets About Contrast Pyramids
  Walter G. Kropatsch
• 11:30 – 11:50Hierarchical Super-Pixel Graph Neural Networks for Image Semantic Segmentation
  Xavier Hoarau, Julien Mille, Hugo Raguet, Romain Raveaux