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 201–250 of 1949 papers

TitleStatusHype
Automatic Relation-aware Graph Network ProliferationCode1
HGATE: Heterogeneous Graph Attention Auto-EncodersCode1
Hierarchical Graph Representation Learning with Differentiable PoolingCode1
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code SelectionCode1
HittER: Hierarchical Transformers for Knowledge Graph EmbeddingsCode1
Hyperbolic Entailment Cones for Learning Hierarchical EmbeddingsCode1
Hyperbolic Graph Convolutional Neural NetworksCode1
Disentangled Condensation for Large-scale GraphsCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022Code1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
Inductive Entity Representations from Text via Link PredictionCode1
Confidence-Based Feature Imputation for Graphs with Partially Known FeaturesCode1
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical RecordsCode1
Benchmarking Graph Neural Networks on Dynamic Link PredictionCode1
Jack the Reader - A Machine Reading FrameworkCode1
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
Keep It Simple: Graph Autoencoders Without Graph Convolutional NetworksCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
Argumentative Link Prediction using Residual Networks and Multi-Objective LearningCode1
Language Models as Knowledge EmbeddingsCode1
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic GraphsCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Learning Long Range Dependencies on Graphs via Random WalksCode1
Learning Probabilistic Symmetrization for Architecture Agnostic EquivarianceCode1
Learning Reasoning Strategies in End-to-End Differentiable ProvingCode1
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
SciMON: Scientific Inspiration Machines Optimized for NoveltyCode1
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution MethodsCode1
Line Graph Neural Networks for Link PredictionCode1
LinkGPT: Teaching Large Language Models To Predict Missing LinksCode1
Link Prediction Based on Graph Neural NetworksCode1
Contextual Parameter Generation for Knowledge Graph Link PredictionCode1
ContextGNN: Beyond Two-Tower Recommendation SystemsCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge GraphsCode1
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule LearningCode1
Logic Embeddings for Complex Query AnsweringCode1
CSGCL: Community-Strength-Enhanced Graph Contrastive LearningCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
MagNet: A Neural Network for Directed GraphsCode1
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
Boosting Graph Embedding on a Single GPUCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
A Retrieve-and-Read Framework for Knowledge Graph Link PredictionCode1
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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