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 351400 of 1949 papers

TitleStatusHype
Distance-Enhanced Graph Neural Network for Link PredictionCode1
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge GraphsCode1
Convolutional 2D Knowledge Graph EmbeddingsCode1
Convolutional Complex Knowledge Graph EmbeddingsCode1
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed GraphsCode1
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated TextsCode1
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
MGAE: Masked Autoencoders for Self-Supervised Learning on GraphsCode1
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph CompletionCode1
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNNCode1
Enhancing Graph Representation Learning with Localized Topological FeaturesCode1
Correlated Variational Auto-EncodersCode1
Learning from Counterfactual Links for Link PredictionCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
MOTIVE: A Drug-Target Interaction Graph For Inductive Link PredictionCode1
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed LaplacianCode1
LPFormer: An Adaptive Graph Transformer for Link PredictionCode1
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional NetworksCode1
Multi-Relational Embedding for Knowledge Graph Representation and AnalysisCode1
Multiresolution Equivariant Graph Variational AutoencoderCode1
CrossWalk: Fairness-enhanced Node Representation LearningCode1
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
CSGCL: Community-Strength-Enhanced Graph Contrastive LearningCode1
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approachCode1
Analogical Inference Enhanced Knowledge Graph EmbeddingCode1
NESS: Node Embeddings from Static SubGraphsCode1
Neural Common Neighbor with Completion for Link PredictionCode1
Neural Factorization Machines for Sparse Predictive AnalyticsCode1
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph DatabasesCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
NeuralLog: a Neural Logic LanguageCode1
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge GraphsCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link PredictionCode1
Decoupling the Depth and Scope of Graph Neural NetworksCode1
A Unified Lottery Ticket Hypothesis for Graph Neural NetworksCode1
Event Prediction using Case-Based Reasoning over Knowledge GraphsCode1
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link PredictionCode1
PairRE: Knowledge Graph Embeddings via Paired Relation VectorsCode1
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction PerspectiveCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
Parallel Training of Knowledge Graph Embedding Models: A Comparison of TechniquesCode1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
Global Self-Attention as a Replacement for Graph ConvolutionCode1
Persona2vec: A Flexible Multi-role Representations Learning Framework for GraphsCode1
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding ReasoningCode1
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learningCode1
Keep It Simple: Graph Autoencoders Without Graph Convolutional NetworksCode1
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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