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SOTA
Node Classification
Node Classification On Bgs
Node Classification On Bgs
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
SCENE
92.41
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
BoP
90.34
From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis
RDF2Vec+SVM
87.24
RDF2Vec: RDF Graph Embeddings and Their Applications
Path Tree
86.90
Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph
RR-GCN-PPV-CUT
84.14
R-GCN: The R Could Stand for Random
R-GCN
83.10
Modeling Relational Data with Graph Convolutional Networks
RR-GCN-PPV
78.97
R-GCN: The R Could Stand for Random
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Node Classification On Bgs | SOTA | HyperAI