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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 1949 papers

TitleStatusHype
Decoupling feature propagation from the design of graph auto-encoders—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
Graph Neural Networks at a Fraction—0
Graph Neural Networks for O-RAN Mobility Management: A Link Prediction Approach—0
G-SPARC: SPectral ARchitectures tackling the Cold-start problem in Graph learning—0
Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction—0
DBGDGM: Dynamic Brain Graph Deep Generative Model—0
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation—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
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction—0
GraphGAN: Generating Graphs via Random Walks—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
Graph Generation via Scattering—0
Cross view link prediction by learning noise-resilient representation consensus—0
Attributed Network Embedding for Learning in a Dynamic Environment—0
Graph Embedding with Hierarchical Attentive Membership—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