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 151175 of 1949 papers

TitleStatusHype
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph CompletionCode1
Parameter-free Dynamic Graph Embedding for Link PredictionCode1
SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link PredictionCode1
Geodesic Graph Neural Network for Efficient Graph Representation LearningCode1
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task GeneralizationCode1
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP InitializationCode1
Graph Neural Networks for Link Prediction with Subgraph SketchingCode1
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link PredictionCode1
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge networkCode1
Predicting Drug-Drug Interactions using Deep Generative Models on GraphsCode1
Disconnected Emerging Knowledge Graph Oriented Inductive Link PredictionCode1
Neighborhood-aware Scalable Temporal Network Representation LearningCode1
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed LaplacianCode1
GreenKGC: A Lightweight Knowledge Graph Completion MethodCode1
Multiplex Heterogeneous Graph Convolutional NetworkCode1
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge GraphsCode1
μKG: A Library for Multi-source Knowledge Graph Embeddings and ApplicationsCode1
Towards Better Evaluation for Dynamic Link PredictionCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Hardware-agnostic Computation for Large-scale Knowledge Graph EmbeddingsCode1
The DLCC Node Classification Benchmark for Analyzing Knowledge Graph EmbeddingsCode1
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated TextsCode1
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph EmbeddingsCode1
A Representation Learning Framework for Property GraphsCode1
Language Models as Knowledge EmbeddingsCode1
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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