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 851–900 of 1949 papers

TitleStatusHype
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific NetworksCode0
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data AugmentationsCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
HopfE: Knowledge Graph Representation Learning using Inverse Hopf FibrationsCode0
End-to-End Learning on Multimodal Knowledge GraphsCode0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link PredictionCode0
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node EmbeddingsCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
How Neural Processes Improve Graph Link PredictionCode0
Knowledge Base Completion: Baseline strikes back (Again)Code0
Knowledge Graph Embedding with Iterative Guidance from Soft RulesCode0
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph RepresentationsCode0
End to end learning and optimization on graphsCode0
JNET: Learning User Representations via Joint Network Embedding and Topic EmbeddingCode0
Causal Question Answering with Reinforcement LearningCode0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
Human Action Co-occurrence in Lifestyle Vlogs using Graph Link PredictionCode0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
Encoding Robust Representation for Graph GenerationCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Adversarial Sets for Regularising Neural Link PredictorsCode0
Jack the Reader -- A Machine Reading FrameworkCode0
Joint Language Semantic and Structure Embedding for Knowledge Graph CompletionCode0
EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspectiveCode0
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
Embedding Ontologies via Incorporating Extensional and Intensional KnowledgeCode0
Embedding Multimodal Relational Data for Knowledge Base CompletionCode0
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation LearningCode0
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Investigating Robustness and Interpretability of Link Prediction via Adversarial ModificationsCode0
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying ScaleCode0
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation LearningCode0
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social ContextsCode0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
Hyper-Path-Based Representation Learning for Hyper-NetworksCode0
KBGAN: Adversarial Learning for Knowledge Graph EmbeddingsCode0
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node DescriptorsCode0
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link PredictionCode0
Knowledge Hypergraphs: Prediction Beyond Binary RelationsCode0
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming EventsCode0
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature InteractionsCode0
Inter-domain Multi-relational Link PredictionCode0
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex SpacesCode0
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in HealthcareCode0
Efficient Parallel Translating Embedding For Knowledge GraphsCode0
Influence-guided Data Augmentation for Neural Tensor CompletionCode0
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTexCode0
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction MethodsCode0
Can NetGAN be improved on short random walks?Code0
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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