SOTAVerified

Link Prediction

Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.

( Image credit: Inductive Representation Learning on Large Graphs )

Papers

Showing 10011025 of 1949 papers

TitleStatusHype
KGNN: Distributed Framework for Graph Neural Knowledge Representation0
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods0
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models0
Similarity Component Analysis0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding0
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph0
Knowledge Enhanced Graph Neural Networks for Graph Completion0
A Parallel and Efficient Algorithm for Learning to Match0
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers0
xLP: Explainable Link Prediction for Master Data Management0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling0
Discriminative Gaifman Models0
Knowledge Graph Embedding: An Overview0
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces0
Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation0
Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy0
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models0
Discriminative Deep Random Walk for Network Classification0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules0
Knowledge Graph Embeddings in Geometric Algebras0
Simplicial Convolutional Neural Networks0
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention0
A Novel Graph Transformer Framework for Gene Regulatory Network Inference0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56Unverified
2CP-N3-RPHits@100.55Unverified
3DistMult (after variational EM)Hits@100.55Unverified
4KG-R3Hits@100.54Unverified
5LASSHits@100.53Unverified
6MDE_advHits@100.53Unverified
7GFA-NNHits@100.52Unverified
8KGRefinerHits@100.49Unverified
9ComplEx NSCachingHits@100.48Unverified
10LogicENNHits@100.47Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88Unverified
2KERMITHits@100.83Unverified
3MoCoSAHits@100.82Unverified
4SimKGCIB(+PB+SN)Hits@100.82Unverified
5C-LMKE(bert-base)Hits@100.79Unverified
6LASSHits@100.79Unverified
7LP-BERTHits@100.75Unverified
8KGLMHits@100.74Unverified
9StAR(Self-Adp)Hits@100.71Unverified
10PALTHits@100.69Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11Unverified
2LibKGE (ruffinelli2020you)training time (s)10Unverified
3GraphVite (zhu2019graphvite)training time (s)6Unverified
4Inverse ModelHits@100.96Unverified
5QuatDEHits@100.96Unverified
6LineaREHits@100.96Unverified
7AutoKGEHits@100.96Unverified
8MEI (small)Hits@100.96Unverified
9ComplEx-N3 (reciprocal)Hits@100.96Unverified
10RotatEHits@100.96Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9Unverified
2AutoKGEMRR0.86Unverified
3ComplEx-N3 (reciprocal)MRR0.86Unverified
4LineaREMRR0.84Unverified
5DistMult (after variational EM)MRR0.84Unverified
6QuatEMRR0.83Unverified
7SEEKMRR0.83Unverified
8MEI-BTDMRR0.81Unverified
9MEI (small)MRR0.8Unverified
10pRotatEMRR0.8Unverified