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 301–350 of 1949 papers

TitleStatusHype
Graph Representation Learning via Graphical Mutual Information MaximizationCode1
Cold Start Similar Artists Ranking with Gravity-Inspired Graph AutoencodersCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
GripNet: Graph Information Propagation on Supergraph for Heterogeneous GraphsCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Hardware-agnostic Computation for Large-scale Knowledge Graph EmbeddingsCode1
A Survey of Adversarial Learning on GraphsCode1
Heterogeneous Graph Representation Learning with Relation AwarenessCode1
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
Decoupling the Depth and Scope of Graph Neural NetworksCode1
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated TextsCode1
Convolutional 2D Knowledge Graph EmbeddingsCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
Hierarchical Message-Passing Graph Neural NetworksCode1
How Attentive are Graph Attention Networks?Code1
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence ViewCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
Contrastive Representation Learning for Dynamic Link Prediction in Temporal NetworksCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Directed Graph Auto-EncodersCode1
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
Inductive Entity Representations from Text via Link PredictionCode1
Inductive Representation Learning on Large GraphsCode1
Confidence-Based Feature Imputation for Graphs with Partially Known FeaturesCode1
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix FactorizationCode1
K-Core based Temporal Graph Convolutional Network for Dynamic GraphsCode1
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse TransformationCode1
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
CrossWalk: Fairness-enhanced Node Representation LearningCode1
Knowledge Graph Embedding for Link Prediction: A Comparative AnalysisCode1
A Survey on Role-Oriented Network EmbeddingCode1
Knowledge Perceived Multi-modal Pretraining in E-commerceCode1
Adaptive Graph Diffusion NetworksCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Knowledge Graph Convolutional Networks for Recommender SystemsCode1
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link PredictionCode1
Explainable Link Prediction for Emerging Entities in Knowledge GraphsCode1
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical RecordsCode1
Learning Reasoning Strategies in End-to-End Differentiable ProvingCode1
ContextGNN: Beyond Two-Tower Recommendation SystemsCode1
Adaptive Graph Encoder for Attributed Graph EmbeddingCode1
Contextual Parameter Generation for Knowledge Graph Link PredictionCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
SciMON: Scientific Inspiration Machines Optimized for NoveltyCode1
LINE: Large-scale Information Network EmbeddingCode1
Linkage Based Face Clustering via Graph Convolution NetworkCode1
Diffusion-based Negative Sampling on Graphs for Link PredictionCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
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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