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 1001–1025 of 1949 papers

TitleStatusHype
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction—0
OpticE: A Coherence Theory-Based Model for Link Prediction—0
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering—0
Optimal link prediction with matrix logistic regression—0
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement—0
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding—0
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers—0
Over-Squashing in Graph Neural Networks: A Comprehensive survey—0
A Parallel and Efficient Algorithm for Learning to Match—0
Pair-view Unsupervised Graph Representation Learning—0
PanRep: Universal node embeddings for heterogeneous graphs—0
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis—0
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning—0
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs—0
PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attention—0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
A PID-Controlled Tensor Wheel Decomposition Model for Dynamic Link Prediction—0
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation—0
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks—0
Personalized Bundle Recommendation in Online Games—0
PersonaSAGE: A Multi-Persona Graph Neural Network—0
Perturbation Ontology based Graph Attention Networks—0
PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks—0
PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction—0
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations—0
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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