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 551600 of 1949 papers

TitleStatusHype
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate TransformerCode0
JNET: Learning User Representations via Joint Network Embedding and Topic EmbeddingCode0
Deep Insights into Noisy Pseudo Labeling on Graph DataCode0
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional NetworksCode0
Deep Generative Models for Subgraph PredictionCode0
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-LearningCode0
AutoGEL: An Automated Graph Neural Network with Explicit Link InformationCode0
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via RankingCode0
DeepFork: Supervised Prediction of Information Diffusion in GitHubCode0
Joint Language Semantic and Structure Embedding for Knowledge Graph CompletionCode0
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link PredictionCode0
Learning Heterogeneous Knowledge Base Embeddings for Explainable RecommendationCode0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge GraphsCode0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social ContextsCode0
Decompressing Knowledge Graph Representations for Link PredictionCode0
Adaptive Sequence SubmodularityCode0
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
Jack the Reader -- A Machine Reading FrameworkCode0
KBGAN: Adversarial Learning for Knowledge Graph EmbeddingsCode0
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy TasksCode0
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction PredictionCode0
DeBayes: a Bayesian Method for Debiasing Network EmbeddingsCode0
Augmenting Knowledge Graphs for Better Link PredictionCode0
Inter-domain Multi-relational Link PredictionCode0
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTexCode0
Analogical Inference for Multi-Relational EmbeddingsCode0
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature InteractionsCode0
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction MethodsCode0
Influence-guided Data Augmentation for Neural Tensor CompletionCode0
Augmenting and Tuning Knowledge Graph EmbeddingsCode0
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex SpacesCode0
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
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphCode0
CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype AssociationsCode0
A metric on directed graphs and Markov chains based on hitting probabilitiesCode0
Attributed Network Embedding via Subspace DiscoveryCode0
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community InfluencesCode0
Attributed Network Embedding for Incomplete Attributed NetworksCode0
Cross-View Graph Consistency Learning for Invariant Graph RepresentationsCode0
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph ReasoningCode0
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesCode0
Inductive Link Prediction in Knowledge Graphs using Path-based Neural NetworksCode0
Inductive Logical Query Answering in Knowledge GraphsCode0
Invariant Link Selector for Spatial-Temporal Out-of-Distribution ProblemCode0
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
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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