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 1801–1850 of 1949 papers

TitleStatusHype
On Generalization of Graph Autoencoders with Adversarial TrainingCode0
On the Equivalence between Positional Node Embeddings and Structural Graph RepresentationsCode0
On the Initialization of Graph Neural NetworksCode0
On the Use of ArXiv as a DatasetCode0
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test GraphsCode0
OpenBioLink: A benchmarking framework for large-scale biomedical link predictionCode0
Open-Domain Contextual Link Prediction and its Complementarity with Entailment GraphsCode0
Open-World Knowledge Graph CompletionCode0
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link PredictionCode0
Out-of-Vocabulary Entities in Link PredictionCode0
PageRank Bandits for Link PredictionCode0
Path-aware Siamese Graph Neural Network for Link PredictionCode0
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph EmbeddingsCode0
POLE: Polarized Embedding for Signed NetworksCode0
Position-aware Graph Neural NetworksCode0
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative PositionsCode0
Predicting kills in Game of Thrones using network propertiesCode0
Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease AssociationsCode0
Predicting Semantic Relations using Global Graph PropertiesCode0
Pre-Training on Dynamic Graph Neural NetworksCode0
Prix-LM: Pretraining for Multilingual Knowledge Base ConstructionCode0
Probabilistic Models of Relational ImplicationCode0
Progressive Knowledge Graph CompletionCode0
PROXI: Challenging the GNNs for Link PredictionCode0
PRUNE: Preserving Proximity and Global Ranking for Network EmbeddingCode0
A Unification Framework for Euclidean and Hyperbolic Graph Neural NetworksCode0
PyTorch-BigGraph: A Large-scale Graph Embedding SystemCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
Quaternion Knowledge Graph EmbeddingsCode0
QubitE: Qubit Embedding for Knowledge Graph CompletionCode0
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge GraphsCode0
Random Walk Guided Hyperbolic Graph DistillationCode0
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge GraphsCode0
RDF-star2Vec: RDF-star Graph Embeddings for Data MiningCode0
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge GraphsCode0
Reevaluation of Inductive Link PredictionCode0
ReInform: Selecting paths with reinforcement learning for contextualized link predictionCode0
Relational Boosted BanditsCode0
Relational Concept Bottleneck ModelsCode0
Relation Specific Transformations for Open World Knowledge Graph CompletionCode0
Repeat-Aware Neighbor Sampling for Dynamic Graph LearningCode0
Replacing Paths with Connection-Biased Attention for Knowledge Graph CompletionCode0
Representation Learning for Heterogeneous Information Networks via Embedding EventsCode0
Representation Learning with Ordered Relation Paths for Knowledge Graph CompletionCode0
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data AugmentationsCode0
Residual2Vec: Debiasing graph embedding with random graphsCode0
Rethinking Kernel Methods for Node Representation Learning on GraphsCode0
Rethinking Link Prediction for Directed GraphsCode0
Rethinking the positive role of cluster structure in complex networks for link prediction tasksCode0
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link PredictionCode0
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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