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링크 속성 예측
Link Property Prediction On Ogbl Biokg
Link Property Prediction On Ogbl Biokg
평가 지표
Number of params
Test MRR
Validation MRR
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Number of params
Test MRR
Validation MRR
Paper Title
RelEns
849427106
0.9618 ± 0.0002
0.9627 ± 0.0004
Relation-aware Ensemble Learning for Knowledge Graph Embedding
GFA-NN
-
0.9011
0.9011
Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities
ComplEx^2
187648000
0.8583 ± 0.0005
0.8592 ± 0.0004
How to Turn Your Knowledge Graph Embeddings into Generative Models
ComplEx^2
187648000
0.8583 ± 0.0005
0.8592 ± 0.0004
-
UniBi
181654170
0.8550 ± 0.0003
0.8553 ± 0.0001
Prior Bilinear Based Models for Knowledge Graph Completion
AutoBLM-KGBench
192047104
0.8536 ± 0.0003
0.8548 ± 0.0002
Bilinear Scoring Function Search for Knowledge Graph Learning
ComplEx-N3-RP
187750000
0.8494
0.8497
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
ComplEx-RP (1000dim)
187750000
0.8492 ± 0.0002
0.8497 ± 0.0002
-
TripleRE
469630002
0.8348 ± 0.0007
0.8360 ± 0.0006
-
NBFNet
734,209
0.8317
0.8318
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
AutoSF
93824000
0.8309 ± 0.0008
0.8317 ± 0.0007
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
PairRE
187750000
0.8164 ± 0.0005
0.8172 ± 0.0005
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
ComplEx
187648000
0.8095 ± 0.0007
0.8105 ± 0.0001
Complex Embeddings for Simple Link Prediction
DistMult
187648000
0.8043 ± 0.0003
0.8055 ± 0.0003
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
RotatE
187597000
0.7989 ± 0.0004
0.7997 ± 0.0002
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
TransE
187648000
0.7452 ± 0.0004
0.7456 ± 0.0003
-
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Link Property Prediction On Ogbl Biokg | SOTA | HyperAI초신경