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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 826–850 of 1949 papers

TitleStatusHype
Development of a Knowledge Graph Embeddings Model for PainCode0
Modeling Edge Features with Deep Bayesian Graph NetworksCode0
Independent Distribution Regularization for Private Graph EmbeddingCode0
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models—0
Inductive Knowledge Graph Completion with GNNs and Rules: An AnalysisCode0
Context-aware Event Forecasting via Graph DisentanglementCode0
Local Structure-aware Graph Contrastive Representation Learning—0
Evaluating Link Prediction Explanations for Graph Neural NetworksCode0
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case—0
Towards Semantically Enriched Embeddings for Knowledge Graph Completion—0
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation—0
HUGE: Huge Unsupervised Graph Embeddings with TPUs—0
Addressing the Impact of Localized Training Data in Graph Neural NetworksCode0
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph TransformersCode0
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction—0
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach—0
Temporal Fact Reasoning over Hyper-Relational Knowledge GraphsCode0
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes—0
Learning from Heterogeneity: A Dynamic Learning Framework for HypergraphsCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks—0
A Survey on Graph Classification and Link Prediction based on GNN—0
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph GenerationCode0
MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edgeCode0
Conformal link prediction for false discovery rate controlCode0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

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