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

Showing 17261750 of 1949 papers

TitleStatusHype
Link Prediction for Wikipedia Articles as a Natural Language Inference TaskCode0
Link Prediction in Networks with Core-Fringe DataCode0
Link Prediction of Artificial Intelligence Concepts using Low Computational PowerCode0
Link Prediction on Heterophilic Graphs via Disentangled Representation LearningCode0
Link Prediction on N-ary Relational Facts: A Graph-based ApproachCode0
Link Prediction via Higher-Order Motif FeaturesCode0
Link Prediction with Non-Contrastive LearningCode0
Local2Global: Scaling global representation learning on graphs via local trainingCode0
Privacy-Preserving Graph Embedding based on Local Differential PrivacyCode0
Locally Private Bayesian Inference for Count ModelsCode0
Multi-task Pre-training Language Model for Semantic Network CompletionCode0
Make Literature-Based Discovery Great Again through Reproducible PipelinesCode0
Mandolin: A Knowledge Discovery Framework for the Web of DataCode0
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic NetworksCode0
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge GraphsCode0
Memory-Associated Differential LearningCode0
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information NetworksCode0
Learning Heterogeneous Knowledge Base Embeddings for Explainable RecommendationCode0
metapath2vec: Scalable Representation Learning for Heterogeneous NetworksCode0
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
Micro-video Tagging via Jointly Modeling Social Influence and Tag RelationCode0
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph EmbeddingCode0
Mixture of Link Predictors on GraphsCode0
Modeling Edge Features with Deep Bayesian Graph NetworksCode0
Modeling polypharmacy side effects with graph convolutional networksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56Unverified
2CP-N3-RPHits@100.55Unverified
3DistMult (after variational EM)Hits@100.55Unverified
4KG-R3Hits@100.54Unverified
5LASSHits@100.53Unverified
6MDE_advHits@100.53Unverified
7GFA-NNHits@100.52Unverified
8KGRefinerHits@100.49Unverified
9ComplEx NSCachingHits@100.48Unverified
10LogicENNHits@100.47Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88Unverified
2KERMITHits@100.83Unverified
3MoCoSAHits@100.82Unverified
4SimKGCIB(+PB+SN)Hits@100.82Unverified
5C-LMKE(bert-base)Hits@100.79Unverified
6LASSHits@100.79Unverified
7LP-BERTHits@100.75Unverified
8KGLMHits@100.74Unverified
9StAR(Self-Adp)Hits@100.71Unverified
10PALTHits@100.69Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11Unverified
2LibKGE (ruffinelli2020you)training time (s)10Unverified
3GraphVite (zhu2019graphvite)training time (s)6Unverified
4Inverse ModelHits@100.96Unverified
5QuatDEHits@100.96Unverified
6LineaREHits@100.96Unverified
7AutoKGEHits@100.96Unverified
8MEI (small)Hits@100.96Unverified
9ComplEx-N3 (reciprocal)Hits@100.96Unverified
10RotatEHits@100.96Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9Unverified
2AutoKGEMRR0.86Unverified
3ComplEx-N3 (reciprocal)MRR0.86Unverified
4LineaREMRR0.84Unverified
5DistMult (after variational EM)MRR0.84Unverified
6QuatEMRR0.83Unverified
7SEEKMRR0.83Unverified
8MEI-BTDMRR0.81Unverified
9MEI (small)MRR0.8Unverified
10pRotatEMRR0.8Unverified