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 201–250 of 1949 papers

TitleStatusHype
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction—0
Conformalized Answer Set Prediction for Knowledge Graph Embedding—0
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors—0
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs—0
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation—0
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning—0
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models—0
wav2graph: A Framework for Supervised Learning Knowledge Graph from SpeechCode2
Deep Generative Models for Subgraph PredictionCode0
Knowledge Probing for Graph Representation Learning—0
SnapE -- Training Snapshot Ensembles of Link Prediction Models—0
Derivation of Back-propagation for Graph Convolutional Networks using Matrix Calculus and its Application to Explainable Artificial IntelligenceCode0
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement—0
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning—0
Harvesting Textual and Structured Data from the HAL Publication Repository—0
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction—0
An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case StudyCode0
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
Exploring the Role of Node Diversity in Directed Graph Representation LearningCode0
Numerical Literals in Link Prediction: A Critical Examination of Models and DatasetsCode0
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope PredictionCode1
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs—0
Temporal receptive field in dynamic graph learning: A comprehensive analysisCode0
FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial MarketsCode2
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization—0
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP EducationCode1
Fast and Continual Knowledge Graph Embedding via Incremental LoRACode1
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
Conformalized Link Prediction on Graph Neural Networks—0
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph CompletionCode0
Kolmogorov-Arnold Graph Neural Networks—0
Link Prediction with Untrained Message Passing Layers—0
A Pure Transformer Pretraining Framework on Text-attributed GraphsCode0
Self-Explainable Temporal Graph Networks based on Graph Information BottleneckCode1
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed GraphsCode1
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
MOTIVE: A Drug-Target Interaction Graph For Inductive Link PredictionCode1
GraphFM: A Comprehensive Benchmark for Graph Foundation ModelCode0
Strong and Weak Random Walks on Signed NetworksCode0
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link PredictionCode1
Efficient Neural Common Neighbor for Temporal Graph Link PredictionCode0
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis—0
Generating Human Understandable Explanations for Node Embeddings—0
Link Prediction in Bipartite Networks—0
GENIE: Watermarking Graph Neural Networks for Link Prediction—0
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning—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