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
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoningCode1
A Survey of Adversarial Learning on GraphsCode1
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
Confidence-Based Feature Imputation for Graphs with Partially Known FeaturesCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
ContextGNN: Beyond Two-Tower Recommendation SystemsCode1
Diffusion-based Negative Sampling on Graphs for Link PredictionCode1
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search PersonalizationCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
Distance-Enhanced Graph Neural Network for Link PredictionCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge GraphsCode1
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph CompletionCode1
A Survey on Role-Oriented Network EmbeddingCode1
A Self-Attention Network based Node Embedding ModelCode1
Knowledge Graph Convolutional Networks for Recommender SystemsCode1
Explainable Link Prediction for Emerging Entities in Knowledge GraphsCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
Adaptive Graph Encoder for Attributed Graph EmbeddingCode1
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge NetworksCode1
Adversarial Training Methods for Network EmbeddingCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
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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