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 1901–1949 of 1949 papers

TitleStatusHype
Entity Hierarchy Embedding—0
Knowledge Graph Embedding via Dynamic Mapping MatrixCode0
Learning Relational Features with Backward Random Walks—0
Inferring Networks of Substitutable and Complementary ProductsCode0
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge BasesCode0
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction—0
Knowlege Graph Embedding by Flexible Translation—0
Evaluating Link Prediction Methods—0
A Hybrid Generative/Discriminative Approach To Citation Prediction—0
Fast Sampling for Bayesian Max-Margin Models—0
Handling oversampling in dynamic networks using link prediction—0
Large Margin Nearest Neighbor Embedding for Knowledge Representation—0
Nonparametric Relational Topic Models through Dependent Gamma Processes—0
Learning Embedding Representations for Knowledge Inference on Imperfect and Incomplete Repositories—0
LINE: Large-scale Information Network EmbeddingCode1
Learning Entity and Relation Embeddings for Knowledge Graph CompletionCode0
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction—0
Embedding Entities and Relations for Learning and Inference in Knowledge BasesCode1
Efficient inference of overlapping communities in complex networks—0
PU Learning for Matrix Completion—0
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization—0
A Parallel and Efficient Algorithm for Learning to Match—0
Predicting missing links via correlation between nodes—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
Knowledge Graph Embedding by Translating on HyperplanesCode0
Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures—0
Similarity Component Analysis—0
Modeling Overlapping Communities with Node Popularities—0
Translating Embeddings for Modeling Multi-relational DataCode0
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks—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
Reading The Web with Learned Syntactic-Semantic Inference Rules—0
UWN: A Large Multilingual Lexical Knowledge Base—0
Estimation of Simultaneously Sparse and Low Rank MatricesCode0
Nonparametric Link Prediction in Dynamic Networks—0
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