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

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Showing 1701–1750 of 1949 papers

TitleStatusHype
Learning Attribute-Structure Co-Evolutions in Dynamic GraphsCode0
Learning Based Proximity Matrix Factorization for Node EmbeddingCode0
Learning Deep Network Representations with Adversarially Regularized AutoencodersCode0
Learning Edge Properties in Graphs from Path AggregationsCode0
Learning Edge Representations via Low-Rank Asymmetric ProjectionsCode0
Learning Entity and Relation Embeddings for Knowledge Graph CompletionCode0
Learning from Heterogeneity: A Dynamic Learning Framework for HypergraphsCode0
Learning Granularity Representation for Temporal Knowledge Graph CompletionCode0
Learning graph representations of biochemical networks and its application to enzymatic link predictionCode0
Learning Representations using Spectral-Biased Random Walks on GraphsCode0
Learning Sequence Encoders for Temporal Knowledge Graph CompletionCode0
Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction PredictionCode0
Learning to Make Predictions on Graphs with AutoencodersCode0
Learning Topological Representation for Networks via Hierarchical SamplingCode0
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge GraphsCode0
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised LearningCode0
Leveraging Node Attributes for Incomplete Relational DataCode0
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge GraphsCode0
Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge GraphsCode0
Line Graph Contrastive Learning for Link PredictionCode0
Link-aware link prediction over temporal graph by pattern recognitionCode0
Link-Backdoor: Backdoor Attack on Link Prediction via Node InjectionCode0
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph PredictionsCode0
Link Prediction for Wikipedia Articles as a Natural Language Inference TaskCode0
Link Prediction in Networks with Core-Fringe DataCode0
Link Prediction of Artificial Intelligence Concepts using Low Computational PowerCode0
Link Prediction on Heterophilic Graphs via Disentangled Representation LearningCode0
Link Prediction on N-ary Relational Facts: A Graph-based ApproachCode0
Link Prediction via Higher-Order Motif FeaturesCode0
Link Prediction with Non-Contrastive LearningCode0
Local2Global: Scaling global representation learning on graphs via local trainingCode0
Privacy-Preserving Graph Embedding based on Local Differential PrivacyCode0
Locally Private Bayesian Inference for Count ModelsCode0
Multi-task Pre-training Language Model for Semantic Network CompletionCode0
Make Literature-Based Discovery Great Again through Reproducible PipelinesCode0
Mandolin: A Knowledge Discovery Framework for the Web of DataCode0
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic NetworksCode0
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge GraphsCode0
Memory-Associated Differential LearningCode0
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information NetworksCode0
Learning Heterogeneous Knowledge Base Embeddings for Explainable RecommendationCode0
metapath2vec: Scalable Representation Learning for Heterogeneous NetworksCode0
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
Micro-video Tagging via Jointly Modeling Social Influence and Tag RelationCode0
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph EmbeddingCode0
Mixture of Link Predictors on GraphsCode0
Modeling Edge Features with Deep Bayesian Graph NetworksCode0
Modeling polypharmacy side effects with graph convolutional networksCode0
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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