Overview of Structural Deep Network Embedding (SDNE), algorithms and examples of implementation
Overview of Structural Deep Network Embedding(SDNE)
Structural Deep Network Embedding (SDNE) is a type of ...
GraREP Overview, Algorithm and Implementation Examples
Overview of GraREP
GraREP (Graph Random Neural Networks for Representation Learning) will be a new deep le...
Overview of Node2Vec, its algorithm and implementation examples
Node2Vec
Node2Vec is a graph embedding algorithm reported by Grover et al. in "node2vec: Scalable Feature...
Overview of LINE (Large-scale Information Network Embedding), its algorithm and examples of implementation
LINE（Large-scale Information Network Embedding）
LINE (Large-scale Information Network Embedding) is a typ...
Overview of DeepWalk and examples of algorithms and implementations
DeepWalk
DeepWalk is one of the machine learning algorithms for graph data analysis reported by Perozzi e...
Overview of GraphSAGE and examples of algorithms and implementations
GraphSAGE（Graph Sample and Aggregated Embeddings）
GraphSAGE (Graph Sample and Aggregated Embeddings) is a...
Overview of pytorch, environment settings and implementation examples
Pytorch Overview
PyTorch is a deep learning library developed by Facebook and provided as open source, w...
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...