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 1351–1400 of 1949 papers

TitleStatusHype
Space-Time Correspondence as a Contrastive Random WalkCode1
A metric on directed graphs and Markov chains based on hitting probabilitiesCode0
Self-supervised edge features for improved Graph Neural Network trainingCode1
Non-Parametric Graph Learning for Bayesian Graph Neural Networks—0
Spectral Evolution with Approximated Eigenvalue Trajectories for Link Prediction—0
A Self-Attention Network based Node Embedding ModelCode1
Quantifying Challenges in the Application of Graph Representation Learning—0
GCC: Graph Contrastive Coding for Graph Neural Network Pre-TrainingCode1
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic NetworksCode0
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks—0
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction—0
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link PredictionCode1
5* Knowledge Graph Embeddings with Projective Transformations—0
Graph Representation Learning Network via Adaptive SamplingCode0
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs—0
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction—0
Link Prediction for Temporally Consistent Networks—0
Persona2vec: A Flexible Multi-role Representations Learning Framework for GraphsCode1
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction—0
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding—0
NENET: An Edge Learnable Network for Link Prediction in Scene Text—0
Understanding Negative Sampling in Graph Representation LearningCode1
Neural Collaborative Filtering vs. Matrix Factorization RevisitedCode0
Learning Representations using Spectral-Biased Random Walks on GraphsCode0
Neural Stochastic Block Model & Scalable Community-Based Graph Learning—0
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changesCode0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey—0
Asymmetric Transitivity Preserving Graph Embedding—0
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases—0
Temporal Knowledge Base Completion: New Algorithms and Evaluation ProtocolsCode0
SEEK: Segmented Embedding of Knowledge GraphsCode1
Knowledge Base Completion: Baseline strikes back (Again)Code0
You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph EmbeddingsCode1
Explainable Link Prediction for Emerging Entities in Knowledge GraphsCode1
Regex Queries over Incomplete Knowledge BasesCode0
Secure Deep Graph Generation with Link Differential PrivacyCode1
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph CompletionCode1
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic LiftingCode1
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks—0
TransEdge: Translating Relation-contextualized Embeddings for Knowledge GraphsCode1
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction—0
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link PredictionCode1
ktrain: A Low-Code Library for Augmented Machine LearningCode2
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion—0
Tensor Decompositions for temporal knowledge base completionCode1
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
Heuristics for Link Prediction in Multiplex Networks—0
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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