GNNExplainer: Generating Explanations for Graph Neural Networks
GPTKB entity
Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:author |
gptkb:Rex_Ying
gptkb:Jure_Leskovec Jiaxuan You Dylan Bourgeois Marinka Zitnik |
| gptkbp:citation |
over 1000
|
| gptkbp:contribution |
identifies important subgraphs and features for predictions
|
| gptkbp:explains |
graph classification
link prediction node predictions |
| gptkbp:field |
gptkb:machine_learning
graph neural networks |
| gptkbp:focusesOn |
explainability in graph neural networks
|
| gptkbp:hasMethod |
GNNExplainer
|
| gptkbp:method |
post-hoc explanation
|
| gptkbp:publicationYear |
2019
|
| gptkbp:publishedIn |
gptkb:NeurIPS_2019
|
| gptkbp:trainer |
real-world graphs
synthetic graphs |
| gptkbp:url |
https://arxiv.org/abs/1903.03894
|
| gptkbp:bfsParent |
gptkb:Ruocheng_Ying
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
GNNExplainer: Generating Explanations for Graph Neural Networks
|