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
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC—0
Hyperdimensional Representation Learning for Node Classification and Link Prediction—0
A Relation-Interactive Approach for Message Passing in Hyper-relational Knowledge Graphs—0
Automating psychological hypothesis generation with AI: when large language models meet causal graph—0
Link Prediction with Physics-Inspired Graph Neural Networks—0
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information EmbeddingCode0
Expressive Higher-Order Link Prediction through Hypergraph Symmetry BreakingCode0
Unlink to Unlearn: Simplifying Edge Unlearning in GNNsCode0
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models—0
Class-Balanced and Reinforced Active Learning on Graphs—0
Node Duplication Improves Cold-start Link PredictionCode0
Can we Soft Prompt LLMs for Graph Learning Tasks?—0
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives—0
Multi-Label Zero-Shot Product Attribute-Value ExtractionCode0
BERT4FCA: A Method for Bipartite Link Prediction using Formal Concept Analysis and BERT—0
Mixture of Link Predictors on GraphsCode0
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link PredictionCode0
Universal Link Predictor By In-Context Learning on Graphs—0
NetInfoF Framework: Measuring and Exploiting Network Usable InformationCode0
Link-aware link prediction over temporal graph by pattern recognitionCode0
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE ModelsCode0
Link Prediction with Relational Hypergraphs—0
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate TransformerCode0
Statistical Guarantees for Link Prediction using Graph Neural Networks—0
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models—0
Enhancing Cross-domain Link Prediction via Evolution Process Modeling—0
Towards Neural Scaling Laws on GraphsCode0
Scalable and Efficient Temporal Graph Representation Learning via Forward Recent SamplingCode0
PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks—0
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs—0
Type-based Neural Link Prediction Adapter for Complex Query Answering—0
MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning—0
LPNL: Scalable Link Prediction with Large Language Models—0
Revisiting Document-Level Relation Extraction with Context-Guided Link PredictionCode0
Embedding Ontologies via Incorporating Extensional and Intensional KnowledgeCode0
Temporal Link Prediction Using Graph Embedding DynamicsCode0
Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendationCode0
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion—0
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks—0
Predicting the structure of dynamic graphs—0
DocGraphLM: Documental Graph Language Model for Information Extraction—0
Effective backdoor attack on graph neural networks in link prediction tasks—0
A Community Detection and Graph Neural Network Based Link Prediction Approach for Scientific Literature—0
Hierarchical Aggregations for High-Dimensional Multiplex Graph EmbeddingCode0
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures—0
RDF-star2Vec: RDF-star Graph Embeddings for Data MiningCode0
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network TrainingCode0
Continuous-time Graph Representation with Sequential Survival Process—0
Do Similar Entities have Similar Embeddings?Code0
Inductive Link Prediction in Knowledge Graphs using Path-based Neural NetworksCode0
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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