Graph Convolutional Network
Network AIO:GraphConvolutionalNetwork NOT_REVIEWED
A deep neural network that operates directly on graph structures utilizing structural information.
Ontology IRI:
https://w3id.org/aio/GraphConvolutionalNetwork
Ontology Structure & Relationships
Parent Classes
Branches
Axiomatic Relationships
-
BFO:0000051 →
AIO:HiddenLayer(Hidden Layer) -
BFO:0000051 →
AIO:InputLayer(Input Layer) -
BFO:0000051 →
AIO:OutputLayer(Output Layer)
Annotations & Sources
Synonyms:
- GCN exact
Definition Sources:
Subsets:
https://w3id.org/aio/NetworkSubset
Curated AIMech Concepts Grounded to this Class
3 Concepts| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Graph attention network
AIMech:GraphAttentionNetwork |
Architectures | related_match | Both use graph structure, but the GAT paper defines a specific learned attention mechanism; the mapping does not equate named GAT and GCN algorithms. |
Graph isomorphism network
AIMech:GraphIsomorphismNetwork |
Architectures | related_match | The AIO category describes graph-structured neural computation broadly; the GIN construction has a specific aggregation and self-weighting rule. |
GraphSAGE
AIMech:GraphSAGE |
Architectures | related_match | The pinned definition broadly describes learning on graph structure, but GraphSAGE has its own inductive sampling/aggregation construction; a narrower GCN algorithm is not equated with it. |
Import Provenance & Upstream Synchronization
Source Repo: AIO GitHub
Release Version:
aio.jsonCommit:
397851c547…License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256:
8f741d71408c…
Source File:
data/aio/GraphConvolutionalNetwork.yaml