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 1726–1750 of 1949 papers

TitleStatusHype
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks—0
Graph Embeddings at Scale—0
Neural graph embeddings as explicit low-rank matrix factorization for link prediction—0
Graph Embedding with Hierarchical Attentive Membership—0
A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
GraphGAN: Generating Graphs via Random Walks—0
Runtime Performances Benchmark for Knowledge Graph Embedding Methods—0
Graph Generation via Scattering—0
Efficient inference of overlapping communities in complex networks—0
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation—0
Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via Event-based Sparse Temporal Attention Network—0
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
Graph Learning: A Survey—0
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges—0
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation—0
Graph Learning with Localized Neighborhood Fairness—0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding—0
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?—0
Graph Neural Networks at a Fraction—0
Efficient and effective training of language and graph neural network models—0
Graph Neural Networks for O-RAN Mobility Management: A Link Prediction Approach—0
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings—0
GraphOpt: Learning Optimization Models of Graph Formation—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