giannisnik

cnn-graph-classification

A convolutional neural network for graph classification in PyTorch

k-clique-graphs-dense-subgraphs

k-hop-gnns

k-hop Graph Neural Networks

message_passing_graph_kernels

mpad

Message Passing Attention Networks for Document Understanding

pi-GNN

Permute Me Softly: Learning Soft Permutations for Graph Representations

repset

Rep the Set: Neural Networks for Learning Set Representations

rwgnn

Random Walk Graph Neural Networks

segk

Learning Structural Node Representations using Graph Kernels

som

Pytorch implementation of a Self-Organizing Map

giannisnik/cnn-graph-classification

A convolutional neural network for graph classification in PyTorch

giannisnik/som

Pytorch implementation of a Self-Organizing Map

giannisnik/mpad

Message Passing Attention Networks for Document Understanding

giannisnik/rwgnn

Random Walk Graph Neural Networks

giannisnik/repset

Rep the Set: Neural Networks for Learning Set Representations

giannisnik/k-hop-gnns

k-hop Graph Neural Networks

giannisnik/k-clique-graphs-dense-subgraphs

giannisnik/message_passing_graph_kernels

giannisnik/pi-GNN

Permute Me Softly: Learning Soft Permutations for Graph Representations

giannisnik/segk

Learning Structural Node Representations using Graph Kernels

giannisnik/gnm

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

giannisnik/grwnn

Geometric Random Walk Graph Neural Networks via Implicit Layers

giannisnik/cooperative_coevolution

Cooperative Coevolution

giannisnik/gawl

Graph Alignment Kernels using Weisfeiler and Leman Hierarchies

giannisnik/gnn-representations

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