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 626650 of 1949 papers

TitleStatusHype
Graph Structural Aggregation for Explainable Learning0
Cross-Network Learning with Partially Aligned Graph Convolutional Networks0
Accurate Text-Enhanced Knowledge Graph Representation Learning0
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange0
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs0
G-SPARC: SPectral ARchitectures tackling the Cold-start problem in Graph learning0
Cross-Domain Recommendation via Preference Propagation GraphNet0
Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance0
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN0
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs0
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks0
COSINE: Compressive Network Embedding on Large-scale Information Networks0
A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations0
CORE: Data Augmentation for Link Prediction via Information Bottleneck0
ALX: Large Scale Matrix Factorization on TPUs0
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations0
A Transfer Learning Framework for Multilayer Networks via Model Averaging0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion0
ALPINE: Active Link Prediction using Network Embedding0
Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings0
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks0
Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation0
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function0
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs0
Graph Representation Learning on Tissue-Specific Multi-Omics0
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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