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

Showing 201225 of 1949 papers

TitleStatusHype
Automatic Relation-aware Graph Network ProliferationCode1
Hashing-Accelerated Graph Neural Networks for Link PredictionCode1
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link PredictionCode1
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link PredictionCode1
Hierarchical Attention Models for Multi-Relational GraphsCode1
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeCode1
CoDEx: A Comprehensive Knowledge Graph Completion BenchmarkCode1
A Self-Attention Network based Node Embedding ModelCode1
How to Turn Your Knowledge Graph Embeddings into Generative ModelsCode1
Adversarial Training Methods for Network EmbeddingCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
Hyperspherical Variational Auto-EncodersCode1
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoningCode1
Cold Start Similar Artists Ranking with Gravity-Inspired Graph AutoencodersCode1
CSGCL: Community-Strength-Enhanced Graph Contrastive LearningCode1
Benchmarking Graph Neural Networks on Dynamic Link PredictionCode1
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
Inductive Representation Learning on Large GraphsCode1
CrossWalk: Fairness-enhanced Node Representation LearningCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
Decoupling the Depth and Scope of Graph Neural NetworksCode1
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph CompletionCode1
Learning from Counterfactual Links for Link PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56Unverified
2CP-N3-RPHits@100.55Unverified
3DistMult (after variational EM)Hits@100.55Unverified
4KG-R3Hits@100.54Unverified
5LASSHits@100.53Unverified
6MDE_advHits@100.53Unverified
7GFA-NNHits@100.52Unverified
8KGRefinerHits@100.49Unverified
9ComplEx NSCachingHits@100.48Unverified
10LogicENNHits@100.47Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88Unverified
2KERMITHits@100.83Unverified
3MoCoSAHits@100.82Unverified
4SimKGCIB(+PB+SN)Hits@100.82Unverified
5C-LMKE(bert-base)Hits@100.79Unverified
6LASSHits@100.79Unverified
7LP-BERTHits@100.75Unverified
8KGLMHits@100.74Unverified
9StAR(Self-Adp)Hits@100.71Unverified
10PALTHits@100.69Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11Unverified
2LibKGE (ruffinelli2020you)training time (s)10Unverified
3GraphVite (zhu2019graphvite)training time (s)6Unverified
4Inverse ModelHits@100.96Unverified
5QuatDEHits@100.96Unverified
6LineaREHits@100.96Unverified
7AutoKGEHits@100.96Unverified
8MEI (small)Hits@100.96Unverified
9ComplEx-N3 (reciprocal)Hits@100.96Unverified
10RotatEHits@100.96Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9Unverified
2AutoKGEMRR0.86Unverified
3ComplEx-N3 (reciprocal)MRR0.86Unverified
4LineaREMRR0.84Unverified
5DistMult (after variational EM)MRR0.84Unverified
6QuatEMRR0.83Unverified
7SEEKMRR0.83Unverified
8MEI-BTDMRR0.81Unverified
9MEI (small)MRR0.8Unverified
10pRotatEMRR0.8Unverified