Computational Graph

What is Computational Graph?

A series of mathematical operations represented as a directed graph, used to define and execute complex calculations in deep learning.

In other languages

한국어연산 그래프

수학적 연산 과정을 노드와 에지로 표현한 방향성 비순환 그래프(DAG)로, 딥러닝 프레임워크에서 연산 순서와 기울기 전파 경로를 정의함

日本語計算グラフ

数学的な演算処理をグラフ構造で表現したもの。演算ノードとデータの依存関係を可視化することで、効率的な微分計算を可能にする。

Related Terms

• Graph Neural NetworkA type of deep learning architecture specifically designed to process data represented as graphs, enabling the analysis of complex relationships and dependencies between discrete entities.
• Latent tokensCompressed, mathematical representations of data used by deep learning models to process and predict complex information sequences.
• HypergraphA generalization of a graph in which an edge can join any number of vertices simultaneously, capturing high-order relationships.
• Latent SpaceA multi-dimensional mathematical representation of data within a neural network where concepts are stored as continuous vectors.
• Graph-enhanced reasoningA method in artificial intelligence where knowledge graphs are used to provide structured context, allowing models to identify complex relationships and dependencies between entities.
• LatentsThe compressed, hidden numerical representations of data that capture its essential features in a lower-dimensional mathematical space.