Graph Kernels and Graph Algorithms
Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification
Minimum Spanning Set Selection in Graph Kernels
Graph-based vs. Vector-based Classification: A Fair Comparison
A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs
Efficient Entropy-based Graph Kernel
Graph Neural Networks
GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network
C2N-ABDP: Cluster-to-Node Attention-based Differentiable Pooling
Splitting Structural and Semantic Knowledge in Graph Autoencoders for Graph Regression
Graph Normalizing Flows to Pre-image Free Machine Learning for Regression
Matching-Graphs for Building Classification Ensembles
Maximal Independent Sets for Pooling in Graph Neural Networks
Graph-based Representations and Applications
Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks
Cell segmentation of in situ transcriptomics data using signed graph partitioning
Graph-based representation for multi-image super-resolution
Reducing the Computational Complexity of the Eccentricity Transform
Graph-Based Deep Learning on the Swiss River Network.