Glossary Library

Technical GlossaryDeep Learning

Graph Pooling

A GNN operation that aims to compress node information into more compact and task-relevant representations.

Graph pooling becomes important when moving from node-level information to graph-level representations. Similar in spirit to pooling in CNNs, it aims to produce larger structural summaries. It is used in tasks such as molecule classification, graph-based anomaly detection, and structural summarization. However, deciding which nodes or substructures to preserve is a critical design choice.

You Might Also Like

Explore these concepts to continue your artificial intelligence journey.

Glossary Cover

veri-muhendisligi-ve-ai-altyapisi

Stream Windowing

An approach that groups continuous data streams into defined time or event intervals for computation.

Glossary Cover

Perceptron

The most basic artificial neuron model that learns a linear decision boundary through weighted inputs.

Glossary Cover

Multilayer Perceptron

A fully connected neural network structure containing multiple hidden layers.