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 351375 of 1949 papers

TitleStatusHype
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Distance-Enhanced Graph Neural Network for Link PredictionCode1
Convolutional 2D Knowledge Graph EmbeddingsCode1
Convolutional Complex Knowledge Graph EmbeddingsCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated TextsCode1
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated SettingCode1
Metapath- and Entity-aware Graph Neural Network for RecommendationCode1
MMKG: Multi-Modal Knowledge GraphsCode1
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNNCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
Correlated Variational Auto-EncodersCode1
Learning from Counterfactual Links for Link PredictionCode1
Directed Graph Auto-EncodersCode1
MOTIVE: A Drug-Target Interaction Graph For Inductive Link PredictionCode1
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed LaplacianCode1
LPFormer: An Adaptive Graph Transformer for Link PredictionCode1
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable ApproachCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
Multiplex Heterogeneous Graph Convolutional NetworkCode1
CrossWalk: Fairness-enhanced Node Representation LearningCode1
Multi-Task Attentive Residual Networks for Argument MiningCode1
CSGCL: Community-Strength-Enhanced Graph Contrastive LearningCode1
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task GeneralizationCode1
Efficient Graph Deep Learning in TensorFlow with tf_geometricCode1
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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