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 301–350 of 1949 papers

TitleStatusHype
Inductive Representation Learning on Large GraphsCode1
Cold Start Similar Artists Ranking with Gravity-Inspired Graph AutoencodersCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic SpaceCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Disentangled Condensation for Large-scale GraphsCode1
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph CompletionCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
Distance-Enhanced Graph Neural Network for Link PredictionCode1
Graph Attention NetworksCode1
Graph Convolutional Matrix CompletionCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
Knowledge Perceived Multi-modal Pretraining in E-commerceCode1
Language Models as Knowledge EmbeddingsCode1
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable ApproachCode1
GRAPE for Fast and Scalable Graph Processing and random walk-based EmbeddingCode1
Learning Graph Normalization for Graph Neural NetworksCode1
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search PersonalizationCode1
Composition-based Multi-Relational Graph Convolutional NetworksCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph CompletionCode1
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
Dynamic Graph Information BottleneckCode1
Confidence-Based Feature Imputation for Graphs with Partially Known FeaturesCode1
Linkage Based Face Clustering via Graph Convolution NetworkCode1
LinkGPT: Teaching Large Language Models To Predict Missing LinksCode1
Link Prediction for Flow-Driven Spatial NetworksCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
Convolutional 2D Knowledge Graph EmbeddingsCode1
Graph Algorithms for Multiparallel Word AlignmentCode1
Graph Convolutional Networks for Graphs Containing Missing FeaturesCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
Adaptive Graph Diffusion NetworksCode1
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge NetworksCode1
Knowledge Graph Convolutional Networks for Recommender SystemsCode1
Convolutional Complex Knowledge Graph EmbeddingsCode1
Explainable Link Prediction for Emerging Entities in Knowledge GraphsCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Machine learning on knowledge graphs for context-aware security monitoringCode1
ContextGNN: Beyond Two-Tower Recommendation SystemsCode1
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
Contextual Parameter Generation for Knowledge Graph Link PredictionCode1
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural NetworksCode1
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link PredictionCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
Message Passing Query EmbeddingCode1
Metapath- and Entity-aware Graph Neural Network for RecommendationCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
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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