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 851875 of 1949 papers

TitleStatusHype
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphCode0
Relational Boosted BanditsCode0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTexCode0
Encoding Robust Representation for Graph GenerationCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Adversarial Sets for Regularising Neural Link PredictorsCode0
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node EmbeddingsCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
How Neural Processes Improve Graph Link PredictionCode0
Replacing Paths with Connection-Biased Attention for Knowledge Graph CompletionCode0
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature InteractionsCode0
Invariant Link Selector for Spatial-Temporal Out-of-Distribution ProblemCode0
EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspectiveCode0
Influence-guided Data Augmentation for Neural Tensor CompletionCode0
Rethinking the positive role of cluster structure in complex networks for link prediction tasksCode0
Embedding Ontologies via Incorporating Extensional and Intensional KnowledgeCode0
Human Action Co-occurrence in Lifestyle Vlogs using Graph Link PredictionCode0
Embedding Multimodal Relational Data for Knowledge Base CompletionCode0
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation LearningCode0
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex SpacesCode0
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
Inferring Networks of Substitutable and Complementary ProductsCode0
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in HealthcareCode0
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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