Node Classification On Blogcatalog 1
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
---|---|---|---|
DEMO-Net(weight) | 84.9 | DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification | |
ISNE | 87.3 | Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding | |
GraphGAN | 23.20 | GraphGAN: Graph Representation Learning with Generative Adversarial Nets | |
GCN+GAugM | 77.6 | Data Augmentation for Graph Neural Networks |
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