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

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Showing 601–650 of 1949 papers

TitleStatusHype
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process—0
Decoupling feature propagation from the design of graph auto-encoders—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
Halting in Random Walk Kernels—0
Handling oversampling in dynamic networks using link prediction—0
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction—0
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning—0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens—0
Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction—0
DBGDGM: Dynamic Brain Graph Deep Generative Model—0
Data Poisoning Attack against Unsupervised Node Embedding Methods—0
Data Considerations in Graph Representation Learning for Supply Chain Networks—0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Data Augmentation for Personal Knowledge Base Population—0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation—0
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach—0
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
5* Knowledge Graph Embeddings with Projective Transformations—0
GROWL: Group Detection With Link Prediction—0
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction—0
Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning—0
A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning—0
Cross view link prediction by learning noise-resilient representation consensus—0
Attributed Network Embedding for Learning in a Dynamic Environment—0
Graph Structural Aggregation for Explainable Learning—0
Cross-Network Learning with Partially Aligned Graph Convolutional Networks—0
Accurate Text-Enhanced Knowledge Graph Representation Learning—0
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange—0
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs—0
G-SPARC: SPectral ARchitectures tackling the Cold-start problem in Graph learning—0
Cross-Domain Recommendation via Preference Propagation GraphNet—0
Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance—0
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN—0
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs—0
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks—0
COSINE: Compressive Network Embedding on Large-scale Information Networks—0
A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations—0
CORE: Data Augmentation for Link Prediction via Information Bottleneck—0
ALX: Large Scale Matrix Factorization on TPUs—0
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations—0
A Transfer Learning Framework for Multilayer Networks via Model Averaging—0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion—0
ALPINE: Active Link Prediction using Network Embedding—0
Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings—0
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks—0
Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation—0
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function—0
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs—0
Graph Representation Learning on Tissue-Specific Multi-Omics—0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56—Unverified
2CP-N3-RPHits@100.55—Unverified
3DistMult (after variational EM)Hits@100.55—Unverified
4KG-R3Hits@100.54—Unverified
5LASSHits@100.53—Unverified
6MDE_advHits@100.53—Unverified
7GFA-NNHits@100.52—Unverified
8KGRefinerHits@100.49—Unverified
9ComplEx NSCachingHits@100.48—Unverified
10LogicENNHits@100.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88—Unverified
2KERMITHits@100.83—Unverified
3MoCoSAHits@100.82—Unverified
4SimKGCIB(+PB+SN)Hits@100.82—Unverified
5C-LMKE(bert-base)Hits@100.79—Unverified
6LASSHits@100.79—Unverified
7LP-BERTHits@100.75—Unverified
8KGLMHits@100.74—Unverified
9StAR(Self-Adp)Hits@100.71—Unverified
10PALTHits@100.69—Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11—Unverified
2LibKGE (ruffinelli2020you)training time (s)10—Unverified
3GraphVite (zhu2019graphvite)training time (s)6—Unverified
4Inverse ModelHits@100.96—Unverified
5QuatDEHits@100.96—Unverified
6LineaREHits@100.96—Unverified
7AutoKGEHits@100.96—Unverified
8MEI (small)Hits@100.96—Unverified
9ComplEx-N3 (reciprocal)Hits@100.96—Unverified
10RotatEHits@100.96—Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9—Unverified
2AutoKGEMRR0.86—Unverified
3ComplEx-N3 (reciprocal)MRR0.86—Unverified
4LineaREMRR0.84—Unverified
5DistMult (after variational EM)MRR0.84—Unverified
6QuatEMRR0.83—Unverified
7SEEKMRR0.83—Unverified
8MEI-BTDMRR0.81—Unverified
9MEI (small)MRR0.8—Unverified
10pRotatEMRR0.8—Unverified