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 1851–1900 of 1949 papers

TitleStatusHype
Revisiting graph neural networks and distance encoding from a practical viewCode0
Revisiting Document-Level Relation Extraction with Context-Guided Link PredictionCode0
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation LearningCode0
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot LearningCode0
ROD: Reception-aware Online Distillation for Sparse GraphsCode0
RWR-GAE: Random Walk Regularization for Graph Auto EncodersCode0
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph GenerationCode0
SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture SearchCode0
Sampling Enclosing Subgraphs for Link PredictionCode0
Scalable Deep Generative Relational Model with High-Order Node DependenceCode0
Block-Approximated Exponential Random GraphsCode0
Self-Supervised Graph Representation Learning via Topology TransformationsCode0
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link PredictionCode0
Shrinking Embeddings for Hyper-Relational Knowledge GraphsCode0
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic GraphsCode0
SimplE Embedding for Link Prediction in Knowledge GraphsCode0
Simplicial Closure and higher-order link predictionCode0
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional NetworksCode0
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare AnalyticsCode0
Social Biases in Knowledge Representations of Wikidata separates Global North from Global SouthCode0
Sparse Graph Attention NetworksCode0
Sparse Vicious Attacks on Graph Neural NetworksCode0
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic GraphsCode0
SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language SpecificationsCode0
Splitter: Learning Node Representations that Capture Multiple Social ContextsCode0
Spring-Electrical Models For Link PredictionCode0
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information EmbeddingCode0
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender SystemsCode0
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph CompletionCode0
STransE: a novel embedding model of entities and relationships in knowledge basesCode0
Strong and Weak Random Walks on Signed NetworksCode0
Structural Alignment in Link PredictionCode0
Structural Deep Network EmbeddingCode0
Structure-Preference Enabled Graph Embedding Generation under Differential PrivacyCode0
Supra-Laplacian Encoding for Transformer on Dynamic GraphsCode0
Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural NetworksCode0
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation LearningCode0
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation LearningCode0
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient ModelingCode0
tBDFS: Temporal Graph Neural Network Leveraging DFSCode0
TempNodeEmb:Temporal Node Embedding considering temporal edge influence matrixCode0
Temporal Graph Network Embedding with Causal Anonymous Walks RepresentationsCode0
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation LearningCode0
Temporal Knowledge Base Completion: New Algorithms and Evaluation ProtocolsCode0
Temporal Link Prediction Using Graph Embedding DynamicsCode0
Temporal Link Prediction using Matrix and Tensor FactorizationsCode0
Temporal Network Representation Learning via Historical Neighborhoods AggregationCode0
Temporal receptive field in dynamic graph learning: A comprehensive analysisCode0
Dynamic Graph Convolutional Networks Using the Tensor M-ProductCode0
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential DynamicsCode0
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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