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 76100 of 1949 papers

TitleStatusHype
Expressive Sign Equivariant Networks for Spectral Geometric LearningCode1
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on GraphsCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Pretraining Language Models with Text-Attributed Heterogeneous GraphsCode1
LPFormer: An Adaptive Graph Transformer for Link PredictionCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
EX-Graph: A Pioneering Dataset Bridging Ethereum and XCode1
Revisiting Link Prediction: A Data PerspectiveCode1
Graph Neural Prompting with Large Language ModelsCode1
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse TransformationCode1
Event Prediction using Case-Based Reasoning over Knowledge GraphsCode1
Pure Message Passing Can Estimate Common Neighbor for Link PredictionCode1
Where Did the Gap Go? Reassessing the Long-Range Graph BenchmarkCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based SimilarityCode1
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between NationsCode1
SimTeG: A Frustratingly Simple Approach Improves Textual Graph LearningCode1
Random Walk on Multiple NetworksCode1
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process ApproachCode1
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New BenchmarkingCode1
Time-aware Graph Structure Learning via Sequence Prediction on Temporal GraphsCode1
Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInECode1
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge GraphsCode1
Learning Probabilistic Symmetrization for Architecture Agnostic EquivarianceCode1
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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