Link Prediction On Fb15K 237

评估指标

Hits@10

评测结果

各个模型在此基准测试上的表现结果

比较表格

模型名称	Hits@10	MR
joint-language-semantic-and-structure	0.533	108
rotate-knowledge-graph-embedding-by	0.524	178
palt-parameter-lite-transfer-of-language	0.444	144
duality-induced-regularizer-for-tensor	0.560	-
multi-partition-embedding-interaction-with	0.552	-
mde-multi-distance-embeddings-for-link	0.531	203
composition-based-multi-relational-graph	0.535	197
mocosa-momentum-contrast-for-knowledge-graph	0.578	-
logicenn-a-neural-based-knowledge-graphs	0.473	424
kgrefiner-knowledge-graph-refinement-for	0.489	203
hypernetwork-knowledge-graph-embeddings	0.520	-
neural-bellman-ford-networks-a-general-graph	0.599	114
simkgc-simple-contrastive-knowledge-graph	0.511	-
self-distillation-with-meta-learning-for-1	0.571	-
mlmlm-link-prediction-with-mean-likelihood	0.4026	411
a-retrieve-and-read-framework-for-knowledge	-	-
low-dimensional-hyperbolic-knowledge-graph-1	0.541	-
quaternion-knowledge-graph-embedding	0.550	87
kbgan-adversarial-learning-for-knowledge	0.458	-
end-to-end-structure-aware-convolutional	0.54	-
from-discrimination-to-generation-knowledge	0.439	-
hitter-hierarchical-transformers-for	-	-
a-re-evaluation-of-knowledge-graph-completion	.331	270
lp-bert-multi-task-pre-training-knowledge	0.490	154
nscaching-simple-and-efficient-negative	0.4805	221
kglm-integrating-knowledge-graph-structure-in	0.468	125.9
a-retrieve-and-read-framework-for-knowledge	0.539	-
greenkgc-a-lightweight-knowledge-graph	0.507	-
tucker-tensor-factorization-for-knowledge	0.544	-
orthogonal-relation-transforms-with-graph	0.550	154
a-re-evaluation-of-knowledge-graph-completion	.057	446
embedding-knowledge-graphs-attentive-to	0.522	186
translating-embeddings-for-modeling-multi	.4709	-
learning-hierarchy-aware-knowledge-graph	-	-
greenkgc-a-lightweight-knowledge-graph	0.493	-
modeling-heterogeneous-hierarchies-with	0.54	-
knowledge-graph-embedding-with-linear	0.545	155
reasoning-through-memorization-nearest	0.550	185
using-pairwise-occurrence-information-to	0.479	-
augmenting-and-tuning-knowledge-graph	0.548	-
drum-end-to-end-differentiable-rule-mining-on	0.516	-
kermit-knowledge-graph-completion-of-enhanced	0.547	-
relation-prediction-as-an-auxiliary-training	0.535	-
boxe-a-box-embedding-model-for-knowledge-base	0.538	-
mocokgc-momentum-contrast-entity-encoding-for	0.580	-
adaptive-convolution-for-multi-relational	0.528	-
autokge-searching-scoring-functions-for	0.555	-
relation-prediction-as-an-auxiliary-training	0.568	163
relation-prediction-as-an-auxiliary-training	0.55	-
interacte-improving-convolution-based	0.535	172
semantic-triple-encoder-for-fast-open-set	0.562	117
meim-multi-partition-embedding-interaction	0.557	-
graphvite-a-high-performance-cpu-gpu-hybrid	0.511	176
a-re-evaluation-of-knowledge-graph-completion	.421	309
decompressing-knowledge-graph-representations	0.536	-
kg-bert-bert-for-knowledge-graph-completion	0.42	153
embedding-entities-and-relations-for-learning	0.419	-
rotate-knowledge-graph-embedding-by	0.533	177
multi-relational-poincare-graph-embeddings	0.521	-
dense-an-enhanced-non-abelian-group	0.535	169
unified-interpretation-of-softmax-cross	0.548	-
knowledge-graph-embedding-via-dynamic-mapping	0.4605	-
how-does-knowledge-graph-embedding	0.549	157
self-attention-presents-low-dimensional	0.545	-
quatde-dynamic-quaternion-embedding-for	0.563	90
unified-interpretation-of-softmax-cross	0.55	-
relphormer-relational-graph-transformer-for	0.481	-
rot-pro-modeling-transitivity-by-projection	0.540	-
convolutional-2d-knowledge-graph-embeddings	0.014	7030
convolutional-2d-knowledge-graph-embeddings	0.501	-
r-gcn-the-r-could-stand-for-random	0.412	-
safran-an-interpretable-rule-based-link	0.537	-
complex-embeddings-for-simple-link-prediction	0.428	-
neptune-neural-powered-tucker-network-for	0.547	-