Overview of Adversarial Attack Models in GNN with Algorithms and Implementation Examples
Hostile Attack Model
Adversarial attack is one of the most widely used attacks against machine learning mo...
Overview of Explainability in GNNs and Examples of Algorithms and Implementations
Overview of Explainability in GNN
GNNs (Graph Neural Networks) are neural networks for handling graph-stru...
Overview of spatio-temporal graph convolutional networks, algorithms and implementation examples
Overview of Spatiotemporal Graph Convolutional Networks
Spatio-Temporal Graph Convolutional Network (STGCN...
Overview of encoder/decoder models in GNNs, algorithms and implementation examples
Encoder/Decoder in DNN
The encoder/decoder model is one of the key architectures in deep learning and is w...
Overview of embedding of dynamic graphs, algorithms and implementation examples
Overview of Dynamic Graph Embedding
Graph convolution described in "Overview, Algorithms, and Examples of ...
Overview of DCNN (Diffusion-Convolutional Neural Networks), its algorithms and implementation systems
Overview of DCNN(Diffusion-Convolutional Neural Networks)
DCNN is a type of Convolutional Neural Network (...
Overview of PATCHY-SAN and examples of algorithms and implementations
Overview of PATCHY-SAN
The Spectral Graph Convolutional Neural Networks (GCN) described in "Overview, Algo...
Overview of ChebNet and Examples of Algorithms and Implementations
Overview of ChebNet
ChebNet (Chebyshev network) is a type of graph neural network (GNN) proposed by Deffer...
Overview of Message Passing in Machine Learning with Algorithms and Examples of Implementations
Message Passing in Machine Learning
Message passing in machine learning is an effective approach to data a...
Overview of Random Walk, Algorithm and Implementation Examples
Overview of Random Walks
A Random Walk is a basic concept used in graph theory and probability theory to d...