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 401425 of 1949 papers

TitleStatusHype
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental StudyCode1
Reasoning on Knowledge Graphs with Debate DynamicsCode1
Automatic Relation-aware Graph Network ProliferationCode1
Reconsidering the Performance of GAE in Link PredictionCode1
Relational Graph Convolutional Networks: A Closer LookCode1
Relational Reflection Entity AlignmentCode1
GripNet: Graph Information Propagation on Supergraph for Heterogeneous GraphsCode1
Language Models as Knowledge EmbeddingsCode1
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical RecordsCode1
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex SpaceCode1
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph EmbeddingCode1
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding modelsCode1
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphsCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
Secure Deep Graph Generation with Link Differential PrivacyCode1
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph CompletionCode1
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link PredictionCode1
Self-Explainable Temporal Graph Networks based on Graph Information BottleneckCode1
Diffusion-based Negative Sampling on Graphs for Link PredictionCode1
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-LearningCode1
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022Code1
Adversarial Network Embedding0
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs0
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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