Graphs, recommendations, and time series · MLD-0487
Graph convolutional network
A graph neural architecture that combines neighborhood aggregation with learned transformations.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Classify nodes in a citation network.
Original caveat
Graph convolution is not simply an image convolution on irregular pixels.
Context and aliases
Level: Intermediate. Stages: Architecture · Data · Training · Inference.
Tags: ML · DL · Graph ML.
Aliases: GCN.
Related concepts
Concepts linking here
Original references
- PyTorch Geometric documentation ↗ · Consulted
- scikit-learn User Guide ↗ · Consulted
- statsmodels: time series analysis ↗ · Reference link
- Original reference URL ↗