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 926–950 of 1949 papers

TitleStatusHype
Knowledge Graph Representation Learning using Ordinary Differential Equations—0
A Semantic Filter Based on Relations for Knowledge Graph Completion—0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction—0
Open-Domain Contextual Link Prediction and its Complementarity with Entailment GraphsCode0
Low Resource Quadratic Forms for Knowledge Graph Embeddings—0
Graph Embedding with Hierarchical Attentive Membership—0
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite HypergraphsCode0
Higher-Order Relations Skew Link Prediction in Graphs—0
Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks—0
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood PredictionCode0
Barlow Graph Auto-Encoder for Unsupervised Network Embedding—0
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic ConesCode1
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph EmbeddingCode1
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector QuantizationCode1
Meta-Knowledge Transfer for Inductive Knowledge Graph EmbeddingCode1
TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor AggregationCode0
Deeper-GXX: Deepening Arbitrary GNNs—0
A Probabilistic Framework for Knowledge Graph Data AugmentationCode1
A Broader Picture of Random-walk Based Graph EmbeddingCode1
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge GraphsCode1
Degree-Based Random Walk Approach for Graph Embedding—0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings—0
Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships—0
Boosting Graph Embedding on a Single GPUCode1
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs—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