Node Classification On Am

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
BoP	92.41	From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis
RR-GCN-PPV-CUT (Unimportant relations removed)	91.31	R-GCN: The R Could Stand for Random
SCENE	90.05	SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
R-GCN	89.29	Modeling Relational Data with Graph Convolutional Networks
RDF2Vec+SVM	88.33	RDF2Vec: RDF Graph Embeddings and Their Applications
Path Tree	86.77	Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph
RR-GCN-PPV-CUT	84.8	R-GCN: The R Could Stand for Random
RR-GCN-PPV	84.65	R-GCN: The R Could Stand for Random

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