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 201–250 of 1949 papers

TitleStatusHype
Automatic Relation-aware Graph Network ProliferationCode1
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link PredictionCode1
Hierarchical Attention Models for Multi-Relational GraphsCode1
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
Hierarchical Message-Passing Graph Neural NetworksCode1
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code SelectionCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
Adversarial Training Methods for Network EmbeddingCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Hyperspherical Variational Auto-EncodersCode1
Directed Graph Auto-EncodersCode1
Decoupling the Depth and Scope of Graph Neural NetworksCode1
Improving Inductive Link Prediction Using Hyper-Relational FactsCode1
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base EmbeddingsCode1
Inductive Representation Learning on Large GraphsCode1
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoningCode1
Benchmarking Graph Neural Networks on Dynamic Link PredictionCode1
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning InterpretabilityCode1
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
K-Core based Temporal Graph Convolutional Network for Dynamic GraphsCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
Argumentative Link Prediction using Residual Networks and Multi-Objective LearningCode1
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
Kronecker Decomposition for Knowledge Graph EmbeddingsCode1
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical RecordsCode1
Learning Graph Normalization for Graph Neural NetworksCode1
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link PredictionCode1
Learning on Attribute-Missing GraphsCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence EncodersCode1
ContextGNN: Beyond Two-Tower Recommendation SystemsCode1
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution MethodsCode1
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link PredictionCode1
Line Graph Neural Networks for Link PredictionCode1
LINE: Large-scale Information Network EmbeddingCode1
LinkGPT: Teaching Large Language Models To Predict Missing LinksCode1
Link Prediction Based on Graph Neural NetworksCode1
Disconnected Emerging Knowledge Graph Oriented Inductive Link PredictionCode1
Learning from Counterfactual Links for Link PredictionCode1
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule LearningCode1
Logic Embeddings for Complex Query AnsweringCode1
A Retrieve-and-Read Framework for Knowledge Graph Link PredictionCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
MagNet: A Neural Network for Directed GraphsCode1
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
Boosting Graph Embedding on a Single GPUCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
A Representation Learning Framework for Property GraphsCode1
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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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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