List your company

Item Recommendation on Yelp (test)

91.28HR@10PEAGAT
8.277629.826351.37572.9237Aug 12, 2018Dec 23, 2018May 6, 2019Sep 17, 2019Jan 28, 2020Jun 10, 2020Oct 22, 2020

Evaluation results

MethodLinks
PEAGATEntity-awareness=true2020.1091.28———66.41——
PEAGCNEntity-awareness=true2020.1091.25———64.43——
PEAGATEntity-awareness=false2020.1090.57———63.82——
PEAGCNEntity-awareness=false2020.1090.41———63.79——
PEASageEntity-awareness=true2020.1088.37———63.08——
PEASageEntity-awareness=false2020.1087.72———62.47——
KGAT2020.1087.62———61.36——
LGC2020.1087.44———61.22——
CFKG2020.1087.29———58.26——
MultiGCCF2020.1086.39———61.2——
NFM2020.1085.95———60.62——
KGCN2020.1081.25———46.68——
NGCF2020.1080.68———48.1——
Metapath2Vec2020.1063.07———40.2——
HeRec2020.1055.33———33.02——
ConvNCFEmbedding size=64, Optimizer=Adagrad2018.0830.8619.7844.312.431619.39—
NeuMFEmbedding size=64, Optimizer=Adagrad, Number of layers=1 to 32018.0829.5818.8143.8511.8915.3618.953
JRLEmbedding size=64, Optimizer=Adagrad, Number of layers=1 to 32018.0829.2218.5843.4311.7715.1918.773.9
MLPEmbedding size=64, Optimizer=Adagrad, Number of layers=1 to 32018.0828.3117.6642.0311.0314.4617.929.2
MF-BPREmbedding size=64, Optimizer=Adagrad2018.0828.1717.5242.0311.0414.4717.969.5
ItemPopEmbedding size=64, Optimizer=Adagrad2018.0811.477.117.323.655.056.52227.6