Giannis Nikolentzos

cnn-graph-classification. A convolutional neural network for graph classification in PyTorch

som. Pytorch implementation of a Self-Organizing Map

mpad. Message Passing Attention Networks for Document Understanding

rwgnn. Random Walk Graph Neural Networks

repset. Rep the Set: Neural Networks for Learning Set Representations

k-hop-gnns. k-hop Graph Neural Networks

message_passing_graph_kernels. Python

k-clique-graphs-dense-subgraphs. Python

pi-GNN. Permute Me Softly: Learning Soft Permutations for Graph Representations

segk. Learning Structural Node Representations using Graph Kernels

gnm. Graph Neural Machine: A New Model for Learning with Tabular Data

grwnn. Geometric Random Walk Graph Neural Networks via Implicit Layers

gnn-representations. Analyze the representations learned by some well-established graph neural network models

gawl. Graph Alignment Kernels using Weisfeiler and Leman Hierarchies

cooperative_coevolution. Cooperative Coevolution