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 626–650 of 1949 papers

TitleStatusHype
Temporal receptive field in dynamic graph learning: A comprehensive analysisCode0
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs—0
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization—0
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network—0
Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models—0
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph CompletionCode0
Kolmogorov-Arnold Graph Neural Networks—0
Conformalized Link Prediction on Graph Neural Networks—0
Link Prediction with Untrained Message Passing Layers—0
A Pure Transformer Pretraining Framework on Text-attributed GraphsCode0
Edge Classification on Graphs: New Directions in Topological ImbalanceCode0
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs—0
Improving rule mining via embedding-based link predictionCode0
Understanding the Generalizability of Link Predictors Under Distribution Shifts on GraphsCode0
GraphFM: A Comprehensive Benchmark for Graph Foundation ModelCode0
Efficient Neural Common Neighbor for Temporal Graph Link PredictionCode0
Strong and Weak Random Walks on Signed NetworksCode0
Generating Human Understandable Explanations for Node Embeddings—0
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis—0
Link Prediction in Bipartite Networks—0
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning—0
GENIE: Watermarking Graph Neural Networks for Link Prediction—0
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks—0
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs—0
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE—0
Show:102550
← PrevPage 26 of 78Next →
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