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

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Showing 1926–1949 of 1949 papers

TitleStatusHype
Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures—0
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks—0
Similarity Component Analysis—0
Translating Embeddings for Modeling Multi-relational DataCode0
Modeling Overlapping Communities with Node Popularities—0
Efficient Online Inference for Bayesian Nonparametric Relational Models—0
Nonparametric Multi-group Membership Model for Dynamic Networks—0
Discriminative Link Prediction using Local Links, Node Features and Community Structure—0
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks—0
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations—0
Link Prediction with Social Vector Clocks—0
Scalable Text and Link Analysis with Mixed-Topic Link Models—0
Graph-based Generalization Bounds for Learning Binary Relations—0
A Semantic Matching Energy Function for Learning with Multi-relational Data—0
Topic-Partitioned Multinetwork Embeddings—0
Link Prediction in Graphs with Autoregressive Features—0
UWN: A Large Multilingual Lexical Knowledge Base—0
Reading The Web with Learned Syntactic-Semantic Inference Rules—0
Nonparametric Link Prediction in Dynamic Networks—0
Estimation of Simultaneously Sparse and Low Rank MatricesCode0
Nonparametric Link Prediction in Large Scale Dynamic Networks—0
Temporal Link Prediction using Matrix and Tensor FactorizationsCode0
Nonparametric Latent Feature Models for Link Prediction—0
Gaussian Process Models for Link Analysis and Transfer Learning—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