How to define metapaths to handle different edge types of non-homogeneous graphs
How to define metapaths to handle different edge types of non-homogeneous graphs
A metapath is a graph pat...
人工知能:Artificial Intelligence
Overview of the Frank-Wolff method and examples of its application and implementation.
Overview of the Frank Wolff method
The Frank-Wolfe method is a numerical algorithm for solving non-linear optim...
About Deep RNN
Overview of Deep RNN
Deep RNN (Deep Recurrent Neural Network) is a type of recurrent neural network (RNN),...
Overview of the Fisher Information Matrix and Related Algorithms and Examples of Implementations
Overview of Fisher Information Matrix
The Fisher information matrix, a concept used in statistics and informati...
Overview of Double Q-Learning and Examples of Algorithms and Implementations
Over view of Double Q-Learning
Double Q-Learning is a type of Q-Learning described in "Overview of Q-Learni...
Overview of counterfactual virtual learning using graph neural networks, related algorithms and implementation examples.
Overview of counterfactual virtual learning using graph neural networks.
Counterfactual learning (counterf...
Bidirectional RNN（BRNN）
Overview of Bidirectional RNN（BRNN）
Bidirectional Recurrent Neural Network (BRNN) is a type of recurrent n...
Overview of the Frobenius norm and examples of algorithms and implementations
Overview of the Frobenius norm.
The Frobenius norm is a type of matrix norm and will be defined as the...
Overview of Kronecker-factored Approximate Curvature (K-FAC) matrix and related algorithms and implementation examples
Overview of Kronecker-factored Approximate Curvature（K-FAC）
Kronecker-factored Approximate Curvature (K-FAC) is...
Overview of Trust Region Policy Optimization (TRPO), its algorithms and example implementations
Overview of Trust Region Policy Optimization (TRPO)
Trust Region Policy Optimization (TRPO) is a reinforcem...