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
Fuzzy Logic Based Logical Query Answering on Knowledge GraphsCode1
Cold Start Similar Artists Ranking with Gravity-Inspired Graph AutoencodersCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Directed Graph Auto-EncodersCode1
A Survey of Adversarial Learning on GraphsCode1
Inductive Entity Representations from Text via Link PredictionCode1
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
Diffusion-based Negative Sampling on Graphs for Link PredictionCode1
GCC: Graph Contrastive Coding for Graph Neural Network Pre-TrainingCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
Disconnected Emerging Knowledge Graph Oriented Inductive Link PredictionCode1
Keep It Simple: Graph Autoencoders Without Graph Convolutional NetworksCode1
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic SpaceCode1
Generative Graph Neural Networks for Link PredictionCode1
Contrastive Representation Learning for Dynamic Link Prediction in Temporal NetworksCode1
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search PersonalizationCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
DRew: Dynamically Rewired Message Passing with DelayCode1
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
Force2Vec: Parallel force-directed graph embeddingCode1
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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