ML Research Wiki / Benchmarks / Link Prediction / Yelp

Yelp

Link Prediction Benchmark

Performance Over Time

📊 Showing 8 results | 📏 Metric: HR@10

Top Performing Models

Rank Model Paper HR@10 Date Code
1 HSRL (DW) Learning Topological Representation for Networks via Hierarchical Sampling 90.10 2019-02-15 📦 fuguoji/HSRL
2 Event2vec Representation Learning for Heterogeneous Information Networks via Embedding Events 86.20 2019-01-29 📦 fuguoji/Event2vec
3 PEAGAT Metapath- and Entity-aware Graph Neural Network for Recommendation 0.91 2020-10-22 📦 ecml-peagnn/PEAGNN
4 KGAT KGAT: Knowledge Graph Attention Network for Recommendation 0.88 2019-05-20 📦 xiangwang1223/knowledge_graph_attention_network 📦 LunaBlack/KGAT-pytorch 📦 zju-dbl/metakg
5 CFKG Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation 0.87 2018-05-09 📦 xiangwang1223/knowledge_graph_attention_network 📦 LunaBlack/KGAT-pytorch 📦 fumiyo0607/KGAN 📦 giantonia/KGATv2 📦 melissakou/KG-RecSys
6 NFM Neural Factorization Machines for Sparse Predictive Analytics 0.86 2017-08-16 📦 shenweichen/DeepCTR 📦 shenweichen/DeepCTR-Torch 📦 xue-pai/FuxiCTR
7 KGCN Knowledge Graph Convolutional Networks for Recommender Systems 0.81 2019-03-18 📦 hwwang55/KGCN 📦 zzaebok/KGCN-pytorch 📦 johnnyjana730/MVIN
8 NGCF Neural Collaborative Filtering vs. Matrix Factorization Revisited 0.81 2020-05-19 📦 google-research/google-research 📦 fdb78/NCF_recommender_systems 📦 JerryKwon/melon_plylst_continuation 📦 ashishdasari148/Recommender-Systems-using-Collaborative-Filtering

All Papers (8)