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 401450 of 1949 papers

TitleStatusHype
Force2Vec: Parallel force-directed graph embeddingCode1
GNNExplainer: Generating Explanations for Graph Neural NetworksCode1
Automatic Relation-aware Graph Network ProliferationCode1
Hierarchical Attention Models for Multi-Relational GraphsCode1
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph EmbeddingCode1
RulE: Knowledge Graph Reasoning with Rule EmbeddingCode1
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoningCode1
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical StudyCode1
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical RecordsCode1
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Secure Deep Graph Generation with Link Differential PrivacyCode1
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic LiftingCode1
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link PredictionCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous NetworksCode1
Learning Reasoning Strategies in End-to-End Differentiable ProvingCode1
Sem@K: Is my knowledge graph embedding model semantic-aware?Code1
Sequence-to-Sequence Knowledge Graph Completion and Question AnsweringCode1
Predicting Biomedical Interactions with Higher-Order Graph Convolutional NetworksCode1
Signed Graph Attention NetworksCode1
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022Code1
Adversarial Network Embedding0
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs0
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure0
A Statistical Relational Approach to Learning Distance-based GCNs0
A Probit Tensor Factorization Model For Relational Learning0
A Comparative Study for Unsupervised Network Representation Learning0
FairGAT: Fairness-aware Graph Attention Networks0
Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected0
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks0
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions0
Fair Graph Neural Network with Supervised Contrastive Regularization0
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors0
Bipartite Link Prediction based on Topological Features via 2-hop Path0
Applying Universal Schemas for Domain Specific Ontology Expansion0
A PID-Controlled Tensor Wheel Decomposition Model for Dynamic Link Prediction0
Adversarial Learning for Debiasing Knowledge Graph Embeddings0
Biomedical Network Link Prediction using Neural Network Graph Embedding0
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding0
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors0
A Parallel and Efficient Algorithm for Learning to Match0
Adversarial Classifier for Imbalanced Problems0
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification0
Pre-Trained Models for Heterogeneous Information Networks0
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers0
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts0
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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