Graph Convolutional Network (GCN)
GPTKB entity
Statements (47)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
gptkb:graph_neural_network |
| gptkbp:activatedBy |
gptkb:ReLU
|
| gptkbp:application |
bioinformatics
recommendation systems social network analysis chemoinformatics graph classification link prediction node classification |
| gptkbp:citation |
over 10,000 (as of 2024)
|
| gptkbp:coreOperation |
message passing
neighborhood aggregation |
| gptkbp:field |
gptkb:machine_learning
deep learning graph representation learning |
| gptkbp:input |
gptkb:graph
adjacency matrix node features |
| gptkbp:introduced |
gptkb:Thomas_Kipf
gptkb:Max_Welling |
| gptkbp:introducedIn |
2016
|
| gptkbp:layer |
graph convolutional layer
|
| gptkbp:limitation |
over-smoothing
scalability to large graphs limited to undirected graphs |
| gptkbp:notablePaperYear |
2017
|
| gptkbp:notablePublication |
gptkb:Semi-Supervised_Classification_with_Graph_Convolutional_Networks
|
| gptkbp:openSource |
gptkb:Spektral
gptkb:TensorFlow_GNN gptkb:PyTorch_Geometric DGL |
| gptkbp:output |
node embeddings
graph embeddings |
| gptkbp:relatedTo |
gptkb:GraphSAGE
Graph Attention Network (GAT) Graph Isomorphism Network (GIN) |
| gptkbp:trainer |
supervised learning
semi-supervised learning |
| gptkbp:usedIn |
social networks
knowledge graphs citation networks protein-protein interaction networks molecular graphs |
| gptkbp:bfsParent |
gptkb:ChebNet
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
Graph Convolutional Network (GCN)
|