Link Prediction On Yelp

Metrics

HR@10

nDCG@10

Results

Performance results of various models on this benchmark

			Paper Title
PEAGAT	0.9128	0.6641	Metapath- and Entity-aware Graph Neural Network for Recommendation
KGAT	0.8762	0.6136	KGAT: Knowledge Graph Attention Network for Recommendation
CFKG	0.8729	0.5826	Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
NFM	0.8595	0.6062	Neural Factorization Machines for Sparse Predictive Analytics
KGCN	0.8125	0.4668	Knowledge Graph Convolutional Networks for Recommender Systems
NGCF	0.8068	0.481	Neural Collaborative Filtering vs. Matrix Factorization Revisited
Metapath2Vec	0.6307	0.402	metapath2vec: Scalable Representation Learning for Heterogeneous Networks
HSRL (DW)	-	-	Learning Topological Representation for Networks via Hierarchical Sampling
Event2vec	-	-	Representation Learning for Heterogeneous Information Networks via Embedding Events

0 of 9 row(s) selected.

Link Prediction On Yelp

Metrics

HR@10

nDCG@10

Results

Performance results of various models on this benchmark

			Paper Title
PEAGAT	0.9128	0.6641	Metapath- and Entity-aware Graph Neural Network for Recommendation
KGAT	0.8762	0.6136	KGAT: Knowledge Graph Attention Network for Recommendation
CFKG	0.8729	0.5826	Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
NFM	0.8595	0.6062	Neural Factorization Machines for Sparse Predictive Analytics
KGCN	0.8125	0.4668	Knowledge Graph Convolutional Networks for Recommender Systems
NGCF	0.8068	0.481	Neural Collaborative Filtering vs. Matrix Factorization Revisited
Metapath2Vec	0.6307	0.402	metapath2vec: Scalable Representation Learning for Heterogeneous Networks
HSRL (DW)	-	-	Learning Topological Representation for Networks via Hierarchical Sampling
Event2vec	-	-	Representation Learning for Heterogeneous Information Networks via Embedding Events

0 of 9 row(s) selected.

Link Prediction On Yelp | SOTA | HyperAI