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 1876–1900 of 1949 papers

TitleStatusHype
A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations—0
Adaptive Candidate Generation for Scalable Edge-discovery Tasks on Data Graphs—0
Leveraging Network Dynamics for Improved Link Prediction—0
Max-Margin Nonparametric Latent Feature Models for Link Prediction—0
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space—0
Log-Normal Matrix Completion for Large Scale Link Prediction—0
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs—0
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction—0
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs—0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation—0
Halting in Random Walk Kernels—0
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels—0
Handling Class Imbalance in Link Prediction using Learning to Rank Techniques—0
Discriminative Predicate Path Mining for Fact Checking in Knowledge GraphsCode0
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks—0
Holographic Embeddings of Knowledge GraphsCode0
A Generative Model of Words and Relationships from Multiple Sources—0
Estimating network edge probabilities by neighborhood smoothingCode0
Composing Relationships with Translations—0
Aligning Knowledge and Text Embeddings by Entity Descriptions—0
Measuring Prerequisite Relations Among Concepts—0
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors—0
Representing Text for Joint Embedding of Text and Knowledge Bases—0
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction—0
Context-Dependent Knowledge Graph Embedding—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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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