GNN

Graph neural network for
Graph Data

An artificial neural network designed to process data that can be represented as graphs, where existing neural network architectures can be interpreted as GNNs operating on appropriately defined graphs

GNN Models

Generalized Additive Models

Understanding GNNs

Most similar to the brain

Neuron architecture with no limit to the volume, but there might be better volume regularization for optimization.

A Gentle Introduction to Graph Neural Networks

What components are needed for building learning algorithms that leverage the structure and properties of graphs?

https://distill.pub/2021/gnn-intro/

A Gentle Introduction to Graph Neural Networks

Understanding Convolutions on Graphs

Understanding the building blocks and design choices of graph neural networks.

https://distill.pub/2021/understanding-gnns/

Classification

Learnable Structural Semantic Readout for Graph Classification

With the great success of deep learning in various domains, graph neural networks (GNNs) also become a dominant approach to graph classification. By the help of a global readout operation that...

https://arxiv.org/abs/2111.11523

Geometric GNN

arxiv.org

https://arxiv.org/pdf/2312.07511.pdf

GNN

Graph neural network for
Graph Data

Understanding GNNs

Geometric GNN

Backlinks

Recommendations

GNN

Graph neural network for Graph Data

Understanding GNNs

Geometric GNN

Backlinks

Recommendations

Graph neural network for
Graph Data