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

Showing 876900 of 1949 papers

TitleStatusHype
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach0
Farspredict: A benchmark dataset for link prediction0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction0
A Survey on Embedding Dynamic Graphs0
Abstract Graphs and Abstract Paths for Knowledge Graph Completion0
Fair Node Representation Learning via Adaptive Data Augmentation0
Log-Normal Matrix Completion for Large Scale Link Prediction0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification0
Hyperlink Regression via Bregman Divergence0
Complex and Holographic Embeddings of Knowledge Graphs: A Comparison0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness0
Fair Graph Neural Network with Supervised Contrastive Regularization0
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs0
FairGAT: Fairness-aware Graph Attention Networks0
Hypotheses generation using link prediction in a bipartite graph0
Comparison of Metadata Representation Models for Knowledge Graph Embeddings0
A Survey of Link Prediction in Temporal Networks0
Knowledge Graph Embedding: An Overview0
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure0
Community detection in networks using graph embeddings0
Exponential Family Graph Embeddings0
Knowledge Enhanced Graph Neural Networks for Graph Completion0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56Unverified
2CP-N3-RPHits@100.55Unverified
3DistMult (after variational EM)Hits@100.55Unverified
4KG-R3Hits@100.54Unverified
5LASSHits@100.53Unverified
6MDE_advHits@100.53Unverified
7GFA-NNHits@100.52Unverified
8KGRefinerHits@100.49Unverified
9ComplEx NSCachingHits@100.48Unverified
10LogicENNHits@100.47Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88Unverified
2KERMITHits@100.83Unverified
3MoCoSAHits@100.82Unverified
4SimKGCIB(+PB+SN)Hits@100.82Unverified
5C-LMKE(bert-base)Hits@100.79Unverified
6LASSHits@100.79Unverified
7LP-BERTHits@100.75Unverified
8KGLMHits@100.74Unverified
9StAR(Self-Adp)Hits@100.71Unverified
10PALTHits@100.69Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11Unverified
2LibKGE (ruffinelli2020you)training time (s)10Unverified
3GraphVite (zhu2019graphvite)training time (s)6Unverified
4Inverse ModelHits@100.96Unverified
5QuatDEHits@100.96Unverified
6LineaREHits@100.96Unverified
7AutoKGEHits@100.96Unverified
8MEI (small)Hits@100.96Unverified
9ComplEx-N3 (reciprocal)Hits@100.96Unverified
10RotatEHits@100.96Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9Unverified
2AutoKGEMRR0.86Unverified
3ComplEx-N3 (reciprocal)MRR0.86Unverified
4LineaREMRR0.84Unverified
5DistMult (after variational EM)MRR0.84Unverified
6QuatEMRR0.83Unverified
7SEEKMRR0.83Unverified
8MEI-BTDMRR0.81Unverified
9MEI (small)MRR0.8Unverified
10pRotatEMRR0.8Unverified