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 101–125 of 1949 papers

TitleStatusHype
Node Embedding from Neural Hamiltonian Orbits in Graph Neural NetworksCode1
An AMR-based Link Prediction Approach for Document-level Event Argument ExtractionCode1
Confidence-Based Feature Imputation for Graphs with Partially Known FeaturesCode1
How to Turn Your Knowledge Graph Embeddings into Generative ModelsCode1
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph CompletionCode1
SciMON: Scientific Inspiration Machines Optimized for NoveltyCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Friendly Neighbors: Contextualized Sequence-to-Sequence Link PredictionCode1
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule LearningCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local LevelCode1
CSGCL: Community-Strength-Enhanced Graph Contrastive LearningCode1
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link PredictionCode1
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender SystemsCode1
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph DatabasesCode1
Link Prediction for Flow-Driven Spatial NetworksCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
IMF: Interactive Multimodal Fusion Model for Link PredictionCode1
NESS: Node Embeddings from Static SubGraphsCode1
Exphormer: Sparse Transformers for GraphsCode1
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link PredictionCode1
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link PredictionCode1
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link PredictionCode1
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge NetworksCode1
Link Prediction on Latent Heterogeneous GraphsCode1
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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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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