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 1051–1100 of 1949 papers

TitleStatusHype
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
Inter-domain Multi-relational Link PredictionCode0
Learning Based Proximity Matrix Factorization for Node EmbeddingCode0
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange—0
Vertex-Centric Visual Programming for Graph Neural Networks—0
Multiple Kernel Representation Learning on NetworksCode0
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures—0
Pseudo-Riemannian Graph Convolutional NetworksCode1
Network Estimation by Mixing: Adaptivity and More—0
Learning from Counterfactual Links for Link PredictionCode1
A Systematic Investigation of KB-Text Embedding Alignment at ScaleCode0
Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism—0
Cross-Network Learning with Partially Aligned Graph Convolutional Networks—0
End-to-End Hierarchical Relation Extraction for Generic Form Understanding—0
Multiresolution Equivariant Graph Variational AutoencoderCode1
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector EmbeddingsCode1
How Attentive are Graph Attention Networks?Code1
Hashing-Accelerated Graph Neural Networks for Link PredictionCode1
Motif Prediction with Graph Neural Networks—0
Out-of-Vocabulary Entities in Link PredictionCode0
Predicting Links on Wikipedia with Anchor Text Information—0
Self-Supervised Graph Representation Learning via Topology TransformationsCode0
Graph Based Link Prediction between Human Phenotypes and Genes—0
Heterogeneous Graph Representation Learning with Relation AwarenessCode1
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative PositionsCode0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
Auxiliary learning induced graph convolutional networks—0
Distance-Enhanced Graph Neural Network for Link PredictionCode1
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks—0
Free Energy Node Embedding via Generalized Skip-gram with Negative SamplingCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
Machine learning on knowledge graphs for context-aware security monitoringCode1
Link Prediction on N-ary Relational Facts: A Graph-based ApproachCode0
Differentially Private Federated Knowledge Graphs EmbeddingCode1
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective—0
Neural-Symbolic Commonsense Reasoner with Relation Predictors—0
GIPA: General Information Propagation Algorithm for Graph LearningCode1
Frequent Pattern Mining in Continuous-time Temporal NetworksCode0
CrossWalk: Fairness-enhanced Node Representation LearningCode1
NeuralLog: a Neural Logic LanguageCode1
Graph Learning: A Survey—0
ResVGAE: Going Deeper with Residual Modules for Link Prediction—0
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation LearningCode0
MUSE: Multi-faceted Attention for Signed Network Embedding—0
Network Embedding via Deep Prediction Model—0
Unsupervised Deep Manifold Attributed Graph EmbeddingCode0
Seastar: vertex-centric programming for graph neural networks—0
Link Prediction on N-ary Relational Data Based on Relatedness EvaluationCode1
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction—0
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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