Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
graph neural network model
|
| gptkbp:architecture |
residual graph convolutional network
|
| gptkbp:author |
gptkb:Guohao_Li
|
| gptkbp:basedOn |
gptkb:Graph_Convolutional_Network
|
| gptkbp:citation |
over 300 (as of 2024)
|
| gptkbp:developedBy |
gptkb:Microsoft_Research_Asia
|
| https://www.w3.org/2000/01/rdf-schema#label |
ResGCN
|
| gptkbp:improves |
deep GCN training stability
|
| gptkbp:introducedIn |
2019
|
| gptkbp:notablePublication |
gptkb:DeepGCNs:_Can_GCNs_Go_as_Deep_as_CNNs?
|
| gptkbp:openSource |
yes
|
| gptkbp:publicationDate |
gptkb:ICCV_2019
|
| gptkbp:relatedTo |
gptkb:GCN
gptkb:ResNet gptkb:DeepGCN |
| gptkbp:repository |
https://github.com/lightaime/deep_gcns_torch
|
| gptkbp:supports |
deep architectures
|
| gptkbp:usedFor |
graph classification
node classification |
| gptkbp:uses |
residual connections
|
| gptkbp:bfsParent |
gptkb:GCN
|
| gptkbp:bfsLayer |
6
|