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 301325 of 1949 papers

TitleStatusHype
Graph Convolutional Matrix CompletionCode1
Cold Start Similar Artists Ranking with Gravity-Inspired Graph AutoencodersCode1
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed GraphsCode1
Graph Neural Prompting with Large Language ModelsCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Graph Self-supervised Learning with Accurate Discrepancy LearningCode1
A Survey of Adversarial Learning on GraphsCode1
Correlated Variational Auto-EncodersCode1
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
GreenKGC: A Lightweight Knowledge Graph Completion MethodCode1
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph CompletionCode1
Learning from Counterfactual Links for Link PredictionCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link PredictionCode1
HGATE: Heterogeneous Graph Attention Auto-EncodersCode1
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable ApproachCode1
Hierarchical Attention Models for Multi-Relational GraphsCode1
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge GraphsCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
How to Turn Your Knowledge Graph Embeddings into Generative ModelsCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
CrossWalk: Fairness-enhanced Node Representation LearningCode1
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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
8ComplEx-N3 (reciprocal)Hits@100.96Unverified
9MEI (small)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