Abstract is missing.
- Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph ClassificationJiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang 0001. 3-14 [doi]
- Minimum Spanning Set Selection in Graph KernelsDomenico Tortorella, Alessio Micheli. 15-24 [doi]
- Graph-Based vs. Vector-Based Classification: A Fair ComparisonAnthony Gillioz, Kaspar Riesen. 25-34 [doi]
- A Practical Algorithm for Max-Norm Optimal Binary Labeling of GraphsFilip Malmberg, Alexandre X. Falcão. 35-45 [doi]
- An Efficient Entropy-Based Graph KernelAymen Ourdjini, Abd Errahmane Kiouche, Hamida Seba. 46-56 [doi]
- GNN-DES: A New End-to-End Dynamic Ensemble Selection Method Based on Multi-label Graph Neural NetworkMariana de Araujo Souza, Robert Sabourin, George Darmiton da Cunha Cavalcanti, Rafael Menelau Oliveira E. Cruz. 59-69 [doi]
- C2N-ABDP: Cluster-to-Node Attention-Based Differentiable PoolingRongji Ye, Lixin Cui, Luca Rossi 0004, Yue Wang 0014, Zhuo Xu, Lu Bai 0001, Edwin R. Hancock. 70-80 [doi]
- Splitting Structural and Semantic Knowledge in Graph Autoencoders for Graph RegressionSarah Fadlallah, Natàlia Segura-Alabart, Carme Julià, Francesc Serratosa. 81-91 [doi]
- Graph Normalizing Flows to Pre-image Free Machine Learning for RegressionClément Glédel, Benoit Gaüzère, Paul Honeine. 92-101 [doi]
- Matching-Graphs for Building Classification EnsemblesMathias Fuchs, Kaspar Riesen. 102-112 [doi]
- Maximal Independent Sets for Pooling in Graph Neural NetworksStevan Stanovic, Benoit Gaüzère, Luc Brun. 113-124 [doi]
- Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural NetworksVincenzo Carletti, Pasquale Foggia, Mario Vento. 127-138 [doi]
- Cell Segmentation of in situ Transcriptomics Data Using Signed Graph PartitioningAxel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg. 139-148 [doi]
- Graph-Based Representation for Multi-image Super-ResolutionTomasz Tarasiewicz, Michal Kawulok. 149-159 [doi]
- Reducing the Computational Complexity of the Eccentricity Transform of a TreeMajid Banaeyan, Walter G. Kropatsch. 160-171 [doi]
- Graph-Based Deep Learning on the Swiss River NetworkBenjamin Fankhauser, Vidushi Bigler, Kaspar Riesen. 172-181 [doi]