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 501–550 of 1949 papers

TitleStatusHype
Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected—0
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph EmbeddingsCode0
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models—0
Heuristic-Informed Mixture of Experts for Link Prediction in Multilayer Networks—0
Random Walk Guided Hyperbolic Graph DistillationCode0
Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures—0
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks—0
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic GraphsCode0
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph LearningCode0
Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning—0
HyperQuery: Beyond Binary Link Prediction—0
Graph Contrastive Learning on Multi-label Classification for Recommendations—0
Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance—0
Structure-Preference Enabled Graph Embedding Generation under Differential PrivacyCode0
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks—0
Efficient Relational Context Perception for Knowledge Graph Completion—0
Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining—0
LASE: Learned Adjacency Spectral EmbeddingsCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure—0
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method—0
Two Layer Walk: A Community-Aware Graph EmbeddingCode0
GNN Applied to Ego-nets for Friend Suggestions—0
Enhancing Temporal Link Prediction with HierTKG: A Hierarchical Temporal Knowledge Graph Framework—0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
Representation learning of dynamic networks—0
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning ModelCode0
Multi-Class and Multi-Task Strategies for Neural Directed Link PredictionCode0
A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings—0
From communities to interpretable network and word embedding: an unified approach—0
A novel robust integrating method by high-order proximity for self-supervised attribute network embeddingCode0
Hyperedge Anomaly Detection with Hypergraph Neural NetworkCode0
eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path RulesCode0
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional RotationCode0
Multi-Scale Node Embeddings for Graph Modeling and Generation—0
Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs—0
SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture SearchCode0
How the use of feature selection methods influences the efficiency and accuracy of complex network simulations—0
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at ScaleCode0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs—0
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in HealthcareCode0
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction—0
Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4ScienceCode0
Perturbation Ontology based Graph Attention Networks—0
Deep Sparse Latent Feature Models for Knowledge Graph Completion—0
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation LearningCode0
VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models—0
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction MethodsCode0
Heterophilic Graph Neural Networks Optimization with Causal Message-passing—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