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 901925 of 1949 papers

TitleStatusHype
Calibrating and Improving Graph Contrastive LearningCode0
Distill2Vec: Dynamic Graph Representation Learning with Knowledge DistillationCode0
Can NetGAN be improved on short random walks?Code0
Investigating Robustness and Interpretability of Link Prediction via Adversarial ModificationsCode0
Enhancing Dense Retrievers' Robustness with Group-level ReweightingCode0
Efficient Neural Common Neighbor for Temporal Graph Link PredictionCode0
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction MethodsCode0
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying ScaleCode0
Improving Relation Extraction by Leveraging Knowledge Graph Link PredictionCode0
Improving rule mining via embedding-based link predictionCode0
Efficient Link Prediction via GNN Layers Induced by Negative SamplingCode0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
Beyond Observed Connections : Link InjectionCode0
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphCode0
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction MethodsCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsCode0
Invariant Link Selector for Spatial-Temporal Out-of-Distribution ProblemCode0
Independent Distribution Regularization for Private Graph EmbeddingCode0
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social ContextsCode0
A survey of embedding models of entities and relationships for knowledge graph completionCode0
Inductive Knowledge Graph Completion with GNNs and Rules: An AnalysisCode0
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in HealthcareCode0
Inductive Link Prediction in Knowledge Graphs using Path-based Neural NetworksCode0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
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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