python Deep Graph Infomax overview and implementation examples
Deep Graph Infomax
Deep Graph Infomax (DGI) is an unsupervised learning method for graph data, which is an...
深層学習:Deep Learning
python python Electricity storage technology, smart grids and GNNs
introduction
Nuclear fusion technology, as described in ‘Nuclear fusion and AI technology’, is a field where...
python KBGAT (Knowledge-based GAT) overview and implementation examples
KBGAT (Knowledge-based GAT)
KBGAT (Knowledge-based Graph Attention Network) is a type of graph neural netw...
python Overview of quantum neural networks and examples of algorithms and implementations
quantum neural network
Quantum Neural Networks (QNN) are an attempt to utilise the capabilities of quantum ...
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...
python Overview of Lifted Relational Neural Networks (LRNN), algorithms and implementation examples
Overview of Lifted Relational Neural Networks (LRNN)
Lifted Relational Neural Networks (LRNNs) are a type ...
python Example implementation of Recursive Advantage Estimation integrating Markov Decision Processes (MDPs) and reinforcement learning
Recursive Advantage Estimation integrating Markov Decision Processes (MDPs) and reinforcement learning
Recur...
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...
アルゴリズム:Algorithms The vanishing gradient problem and its countermeasures
Overview of vanishing gradient problem
The Vanishing Gradient Problem is one of the problems that occurs mainly...
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...