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 1376–1400 of 1949 papers

TitleStatusHype
Equivariant Heterogeneous Graph Networks—0
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings—0
A Survey on Signed Graph Embedding: Methods and Applications—0
Erratum: Link prediction in drug-target interactions network using similarity indices—0
Asymmetric Learning for Graph Neural Network based Link Prediction—0
Asymmetric Transitivity Preserving Graph Embedding—0
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction—0
Evaluating Link Prediction Accuracy on Dynamic Networks with Added and Removed Edges—0
A2N: Attending to Neighbors for Knowledge Graph Inference—0
Evaluating Link Prediction Methods—0
Evaluating link prediction: New perspectives and recommendations—0
Effective backdoor attack on graph neural networks in link prediction tasks—0
A Deep Latent Space Model for Directed Graph Representation Learning—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
Relation Embedding with Dihedral Group in Knowledge Graph—0
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions—0
Explainable Automatic Hypothesis Generation via High-order Graph Walks—0
A Differential Geometric View and Explainability of GNN on Evolving Graphs—0
Explainable Link Prediction for Privacy-Preserving Contact Tracing—0
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs—0
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation—0
Explaining Knowledge Graph Embedding via Latent Rule Learning—0
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
Meta-Graph: Few Shot Link Prediction via Meta LearningCode0
Knowledge Hypergraphs: Prediction Beyond Binary RelationsCode0
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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