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 701–750 of 1949 papers

TitleStatusHype
Flashlight: Scalable Link Prediction with Effective Decoders—0
SPGP: Structure Prototype Guided Graph Pooling—0
Hub-aware Random Walk Graph Embedding Methods for Classification—0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling—0
Predicting Drug-Drug Interactions using Deep Generative Models on GraphsCode1
Graph Perceiver IO: A General Architecture for Graph Structured DataCode0
Manifold Rewiring for Unlabeled Imaging—0
Towards Sparsification of Graph Neural NetworksCode0
A Complex Network based Graph Embedding Method for Link Prediction—0
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath—0
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesCode0
Disconnected Emerging Knowledge Graph Oriented Inductive Link PredictionCode1
Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction—0
Neighborhood-aware Scalable Temporal Network Representation LearningCode1
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed LaplacianCode1
Graph Distance Neural Networks for Predicting Multiple Drug Interactions—0
Influence Maximization (IM) in Complex Networks with Limited Visibility Using Statistical Methods—0
Link prediction with continuous-time classical and quantum walks—0
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models—0
GreenKGC: A Lightweight Knowledge Graph Completion MethodCode1
ROLAND: Graph Learning Framework for Dynamic GraphsCode3
Link-Backdoor: Backdoor Attack on Link Prediction via Node InjectionCode0
Multiplex Heterogeneous Graph Convolutional NetworkCode1
Path-aware Siamese Graph Neural Network for Link PredictionCode0
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding—0
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex SpacesCode0
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks—0
Link Prediction on Heterophilic Graphs via Disentangled Representation LearningCode0
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach—0
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge GraphsCode1
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks—0
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory—0
AutoWeird: Weird Translational Scoring Function Identified by Random Search—0
μKG: A Library for Multi-source Knowledge Graph Embeddings and ApplicationsCode1
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs—0
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation—0
Towards Better Evaluation for Dynamic Link PredictionCode1
Hardware-agnostic Computation for Large-scale Knowledge Graph EmbeddingsCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
An Approach for Link Prediction in Directed Complex Networks based on Asymmetric Similarity-Popularity—0
The DLCC Node Classification Benchmark for Analyzing Knowledge Graph EmbeddingsCode1
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated TextsCode1
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph EmbeddingsCode1
Text Enriched Sparse Hyperbolic Graph Convolutional Networks—0
A Survey on Hyperlink Prediction—0
Constraint-based Multi-hop Question Answering with Knowledge Graph—0
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding QualityCode0
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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