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 101–150 of 1949 papers

TitleStatusHype
Disconnected Emerging Knowledge Graph Oriented Inductive Link PredictionCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
End-to-end Emotion-Cause Pair Extraction via Learning to LinkCode1
Enhancing Graph Representation Learning with Localized Topological FeaturesCode1
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022Code1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
EX-Graph: A Pioneering Dataset Bridging Ethereum and XCode1
Euler: Detecting Network Lateral Movement via Scalable Temporal Link PredictionCode1
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
Automatic Relation-aware Graph Network ProliferationCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
Exphormer: Sparse Transformers for GraphsCode1
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding SpaceCode1
Expressive Sign Equivariant Networks for Spectral Geometric LearningCode1
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence EncodersCode1
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution MethodsCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
FedRule: Federated Rule Recommendation System with Graph Neural NetworksCode1
Friendly Neighbors: Contextualized Sequence-to-Sequence Link PredictionCode1
Fuzzy Logic Based Logical Query Answering on Knowledge GraphsCode1
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on GraphsCode1
Generalizing Tensor Decomposition for N-ary Relational Knowledge BasesCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
A Probabilistic Framework for Knowledge Graph Data AugmentationCode1
GIPA: A General Information Propagation Algorithm for Graph LearningCode1
GIPA: General Information Propagation Algorithm for Graph LearningCode1
CrossWalk: Fairness-enhanced Node Representation LearningCode1
Correlated Variational Auto-EncodersCode1
A Survey on Role-Oriented Network EmbeddingCode1
Learning from Counterfactual Links for Link PredictionCode1
CSGCL: Community-Strength-Enhanced Graph Contrastive LearningCode1
Convolutional 2D Knowledge Graph EmbeddingsCode1
Contextual Parameter Generation for Knowledge Graph Link PredictionCode1
Convolutional Complex Knowledge Graph EmbeddingsCode1
Confidence-Based Feature Imputation for Graphs with Partially Known FeaturesCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated TextsCode1
Decoupling the Depth and Scope of Graph Neural NetworksCode1
CoDEx: A Comprehensive Knowledge Graph Completion BenchmarkCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
A Self-Attention Network based Node Embedding ModelCode1
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope PredictionCode1
A Broader Picture of Random-walk Based Graph EmbeddingCode1
A Generalization of Transformer Networks to GraphsCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot RelationsCode1
ContextGNN: Beyond Two-Tower Recommendation SystemsCode1
Contrastive Representation Learning for Dynamic Link Prediction in Temporal NetworksCode1
Adversarial Training Methods for Network EmbeddingCode1
Show:102550
← PrevPage 3 of 39Next →
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