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SOTA
リンク属性予測
Link Property Prediction On Ogbl Biokg
Link Property Prediction On Ogbl Biokg
評価指標
Number of params
Test MRR
Validation MRR
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
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
-
0 of 16 row(s) selected.
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Link Property Prediction On Ogbl Biokg | SOTA | HyperAI超神経