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 501–525 of 1949 papers

TitleStatusHype
TuckerDNCaching: high-quality negative sampling with tucker decompositionCode0
Variational Disentangled Graph Auto-Encoders for Link Prediction—0
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New BenchmarkingCode1
Dual Node and Edge Fairness-Aware Graph Partition—0
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsCode0
Time-aware Graph Structure Learning via Sequence Prediction on Temporal GraphsCode1
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge GraphsCode1
Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInECode1
Learning Probabilistic Symmetrization for Architecture Agnostic EquivarianceCode1
Exploring and Verbalizing Academic Ideas by Concept Co-occurrenceCode0
Shrinking Embeddings for Hyper-Relational Knowledge GraphsCode0
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices—0
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction—0
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy TasksCode0
An AMR-based Link Prediction Approach for Document-level Event Argument ExtractionCode1
Node Embedding from Neural Hamiltonian Orbits in Graph Neural NetworksCode1
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document DeduplicationCode0
Modeling Dynamic Environments with Scene Graph Memory—0
Confidence-Based Feature Imputation for Graphs with Partially Known FeaturesCode1
How to Turn Your Knowledge Graph Embeddings into Generative ModelsCode1
NODDLE: Node2vec based deep learning model for link prediction—0
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint—0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding—0
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Link Prediction without Graph Neural NetworksCode2
Show:102550
← PrevPage 21 of 78Next →
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