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...
時系列データ解析
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 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...
Overview of IsoRank and examples of algorithms and implementations
IsoRank（Isomorphism Ranking）
IsoRank (Isomorphism Ranking) is one of the algorithms used to align differen...
Overview of HubAlign and examples of algorithms and implementations
HubAlign（Hub-based Network Alignment）
HubAlign (Hub-based Network Alignment) is an algorithm for mapping (...
Overview of GRAAL and examples of algorithms and implementations
GRAAL（Graph Algorithm for Alignment of Networks）
GRAAL (Graph Algorithm for Alignment of Networks) is an a...
Overview of TIME-SI (Time-aware Structural Identity), its algorithm and implementation
TIME-SI (Time-aware Structural Identity)
Time-aware Structural Identity (TIME-SI) is one of the algorithms...
Overview of MAGNA (Maximizing Accuracy in Global Network Alignment), its algorithm and examples of implementation
MAGNA (Maximizing Accuracy in Global Network Alignment)
MAGNA is a set of algorithms and tools for mapping...
Overview of Dynamic Graph Neural Networks (D-GNN) and examples of algorithms and implementations
Dynamic Graph Neural Networks（D-GNN）
Dynamic Graph Neural Networks (D-GNNs) are a type of graph neural n...
Graphical data analysis that takes into account changes over time using a time prediction model
Graphical data analysis that takes into account changes over time using a time prediction model
Graph data...