Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:application |
graph representation learning
node classification |
| gptkbp:architecture |
multi-layer perceptron
|
| gptkbp:author |
Ruipan Shi, Yuxiao Dong, Yizhou Sun, Jie Tang
|
| gptkbp:citation |
2022
Graph Attentional Multi-Layer Perceptron |
| gptkbp:codeAvailable |
https://github.com/shiruipan/GAMLP
|
| gptkbp:feature |
attention mechanism
scalable to large graphs combines MLP and attention for graphs |
| gptkbp:field |
graph neural networks
|
| gptkbp:fullName |
Graph Attentional Multi-Layer Perceptron
|
| https://www.w3.org/2000/01/rdf-schema#label |
GAMLP
|
| gptkbp:proposedBy |
researchers from Tsinghua University
|
| gptkbp:publishedIn |
ICLR 2022
|
| gptkbp:relatedTo |
gptkb:GNN
gptkb:MLP Graph Neural Networks |
| gptkbp:yearProposed |
2022
|
| gptkbp:bfsParent |
gptkb:Gobierno_Autónomo_Municipal_de_La_Paz
|
| gptkbp:bfsLayer |
8
|