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 1401–1450 of 1949 papers

TitleStatusHype
Learning Temporal Attention in Dynamic Graphs with Bilinear InteractionsCode0
Force-directed graph embedding with hops distanceCode0
VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning TasksCode0
A Benchmark for Semi-Inductive Link Prediction in Knowledge GraphsCode0
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation LearningCode0
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsCode0
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing SystemsCode0
AdaGrid: Adaptive Grid Search for Link Prediction Training ObjectiveCode0
Adaptive Sequence SubmodularityCode0
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph LearningCode0
Addressing the Impact of Localized Training Data in Graph Neural NetworksCode0
A Deep Latent Space Model for Graph Representation LearningCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
A Deep Sequential Model for Discourse Parsing on Multi-Party DialoguesCode0
Adversarial Attack on Network Embeddings via Supervised Network PoisoningCode0
Adversarial Autoencoders with Constant-Curvature Latent ManifoldsCode0
Adversarial network embedding with bootstrapped representations for sparse networksCode0
Adversarial Permutation Guided Node Representations for Link PredictionCode0
Adversarial Sets for Regularising Neural Link PredictorsCode0
A generalized method toward drug-target interaction prediction via low-rank matrix projectionCode0
A Hidden Challenge of Link Prediction: Which Pairs to Check?Code0
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph RepresentationsCode0
A Hierarchical N-Gram Framework for Zero-Shot Link PredictionCode0
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted NetworksCode0
Structural Group Unfairness: Measurement and Mitigation by means of the Effective ResistanceCode0
A metric on directed graphs and Markov chains based on hitting probabilitiesCode0
Analogical Inference for Multi-Relational EmbeddingsCode0
Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge GraphsCode0
An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case StudyCode0
A Neural Network for SemigroupsCode0
An Open-World Extension to Knowledge Graph Completion ModelsCode0
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural NetworkCode0
A novel robust integrating method by high-order proximity for self-supervised attribute network embeddingCode0
A survey of embedding models of entities and relationships for knowledge graph completionCode0
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph TransformersCode0
An unified approach to link prediction in collaboration networksCode0
A Pure Transformer Pretraining Framework on Text-attributed GraphsCode0
A Re-evaluation of Knowledge Graph Completion MethodsCode0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph RepresentationsCode0
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingCode0
A simple yet effective baseline for non-attributed graph classificationCode0
A source separation approach to temporal graph modelling for computer networksCode0
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding QualityCode0
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of ThingsCode0
A Survey of Link Prediction in N-ary Knowledge GraphsCode0
Asymptotics of _2 Regularized Network EmbeddingsCode0
Asymptotics of Network Embeddings Learned via SubsamplingCode0
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association PredictionCode0
A Systematic Investigation of KB-Text Embedding Alignment at ScaleCode0
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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