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 751800 of 1949 papers

TitleStatusHype
Force-directed graph embedding with hops distanceCode0
Kernel Node EmbeddingsCode0
Knowledge Base Completion: Baseline strikes back (Again)Code0
Learning Based Proximity Matrix Factorization for Node EmbeddingCode0
Augmenting and Tuning Knowledge Graph EmbeddingsCode0
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc NetworksCode0
GraphGAN: Graph Representation Learning with Generative Adversarial NetsCode0
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation LearningCode0
Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug RepurposingCode0
Jack the Reader -- A Machine Reading FrameworkCode0
Expeditious Generation of Knowledge Graph EmbeddingsCode0
A generalized method toward drug-target interaction prediction via low-rank matrix projectionCode0
eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path RulesCode0
Augmenting Knowledge Graphs for Better Link PredictionCode0
Expanding the Vocabulary of BERT for Knowledge Base ConstructionCode0
Graph Learning Network: A Structure Learning AlgorithmCode0
CoKE: Contextualized Knowledge Graph EmbeddingCode0
ExEm: Expert Embedding using dominating set theory with deep learning approachesCode0
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding QualityCode0
JNET: Learning User Representations via Joint Network Embedding and Topic EmbeddingCode0
A source separation approach to temporal graph modelling for computer networksCode0
Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized DataCode0
Evaluating Overfit and Underfit in Models of Network Community StructureCode0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
CoCon: A Data Set on Combined Contextualized Research Artifact UseCode0
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
Evaluating Link Prediction Explanations for Graph Neural NetworksCode0
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social ContextsCode0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
A simple yet effective baseline for non-attributed graph classificationCode0
Invariant Link Selector for Spatial-Temporal Out-of-Distribution ProblemCode0
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link PredictionCode0
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingCode0
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation LearningCode0
Estimation of Simultaneously Sparse and Low Rank MatricesCode0
Estimating network edge probabilities by neighborhood smoothingCode0
Classification Using Link PredictionCode0
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-LearningCode0
SimHawNet: A Modified Hawkes Process for Temporal Network SimulationCode0
Deep Generative Models for Subgraph PredictionCode0
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphCode0
Investigating Robustness and Interpretability of Link Prediction via Adversarial ModificationsCode0
ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corporaCode0
Deep Insights into Noisy Pseudo Labeling on Graph DataCode0
Gravity-Inspired Graph Autoencoders for Directed Link PredictionCode0
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTexCode0
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature InteractionsCode0
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in HealthcareCode0
Inter-domain Multi-relational Link PredictionCode0
Epitomic Variational Graph AutoencoderCode0
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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