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 901–925 of 1949 papers

TitleStatusHype
Diffusing Graph Attention—0
Asymmetric Learning for Graph Neural Network based Link Prediction—0
Argument Mining using BERT and Self-Attention based Embeddings—0
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks—0
Do We Really Need Complicated Model Architectures For Temporal Networks?—0
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning MethodCode0
Friend Ranking in Online Games via Pre-training Edge TransformersCode0
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings—0
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models—0
NNKGC: Improving Knowledge Graph Completion with Node NeighborhoodsCode0
USER: Unsupervised Structural Entropy-based Robust Graph Neural NetworkCode0
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters—0
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph—0
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search—0
PubGraph: A Large-Scale Scientific Knowledge Graph—0
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning—0
Interaction Order Prediction for Temporal Graphs—0
Structural Explanations for Graph Neural Networks using HSIC—0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
Causal Lifting and Link Prediction—0
KG-Hub -- Building and Exchanging Biological Knowledge Graphs—0
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering—0
Dual Box Embeddings for the Description Logic EL++Code0
DBGDGM: Dynamic Brain Graph Deep Generative Model—0
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural NetworkCode0
Show:102550
← PrevPage 37 of 78Next →
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