python Overview of Deep Graph Generative Models (DGMG) and examples of algorithms and implementations.
Overview of Deep Graph Generative Models（DGMG）
Deep Graph Generative Models (DGMGs) are a type of deep lea...
グラフ理論
python グラフ理論 What is information geometry?
What is the essence of information geometry?
Information geometry is a field that studies the geometrical struc...
python Overview of GraphRNN, algorithms and implementation examples
Overview of GraphRNN
GraphRNN is a deep learning model that specialises in graph generation and is particu...
python Overview of GNN-based recommendation techniques and related algorithms and implementation examples.
Overview of GNN-based recommendation technology
Graphs are expressive and powerful data structures that ar...
python UMAP (Uniform Manifold Approximation and Projection)
UMAP (Uniform Manifold Approximation and Projection)
UMAP is a nonlinear dimensionality reduction method for hi...
python Overview of services that model each stage of the manufacturing process using GNNs to optimise the design and operation of production lines.
Overview of services that model each stage of the manufacturing process using GNNs to optimise the design a...
python LLE (Locally Linear Embedding)
LLE (Locally Linear Embedding)
Locally Linear Embedding (LLE) is a nonlinear dimensionality reduction algorithm...
python Overview of services that model the properties and structure of materials using GNNs to design new materials and predict their properties.
Overview of services that model the properties and structure of materials using GNNs to design new material...
python t-SNE (t-distributed Stochastic Neighbor Embedding)
t-SNE (t-distributed Stochastic Neighbor Embedding)
t-SNE is one of the nonlinear dimensionality reduction algo...
python Overview of services that use GNNs to model product characteristics and functions and predict market response and demand fluctuations
Overview
The service on modelling product characteristics and functions and predicting market reactions an...