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 426–450 of 1949 papers

TitleStatusHype
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure—0
A Statistical Relational Approach to Learning Distance-based GCNs—0
A Probit Tensor Factorization Model For Relational Learning—0
A Comparative Study for Unsupervised Network Representation Learning—0
FairGAT: Fairness-aware Graph Attention Networks—0
Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected—0
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks—0
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions—0
Fair Graph Neural Network with Supervised Contrastive Regularization—0
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors—0
Bipartite Link Prediction based on Topological Features via 2-hop Path—0
Applying Universal Schemas for Domain Specific Ontology Expansion—0
A PID-Controlled Tensor Wheel Decomposition Model for Dynamic Link Prediction—0
Adversarial Learning for Debiasing Knowledge Graph Embeddings—0
Biomedical Network Link Prediction using Neural Network Graph Embedding—0
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure—0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors—0
A Parallel and Efficient Algorithm for Learning to Match—0
Adversarial Classifier for Imbalanced Problems—0
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods—0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
Pre-Trained Models for Heterogeneous Information Networks—0
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers—0
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts—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