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 1001–1050 of 1949 papers

TitleStatusHype
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction—0
OpticE: A Coherence Theory-Based Model for Link Prediction—0
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering—0
Optimal link prediction with matrix logistic regression—0
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement—0
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding—0
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers—0
Over-Squashing in Graph Neural Networks: A Comprehensive survey—0
A Parallel and Efficient Algorithm for Learning to Match—0
Pair-view Unsupervised Graph Representation Learning—0
PanRep: Universal node embeddings for heterogeneous graphs—0
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis—0
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning—0
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs—0
PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attention—0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
A PID-Controlled Tensor Wheel Decomposition Model for Dynamic Link Prediction—0
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation—0
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks—0
Personalized Bundle Recommendation in Online Games—0
PersonaSAGE: A Multi-Persona Graph Neural Network—0
Perturbation Ontology based Graph Attention Networks—0
PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks—0
PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction—0
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations—0
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs—0
Poincaré Wasserstein Autoencoder—0
Polar Embedding—0
Applying Universal Schemas for Domain Specific Ontology Expansion—0
Power Efficient Discontinuous Reception in THz and mmWave Wireless Systems—0
PPKE: Knowledge Representation Learning by Path-based Pre-training—0
PPPNE: Personalized proximity preserved network embedding—0
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method—0
Predict Anchor Links across Social Networks via an Embedding Approach—0
Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning—0
Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion—0
Predicting Links on Wikipedia with Anchor Text Information—0
Diffusing Graph Attention—0
Predicting missing links via correlation between nodes—0
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding—0
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks—0
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks—0
Predicting the structure of dynamic graphs—0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction—0
Premise Selection in Natural Language Mathematical Texts—0
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)—0
Pre-training Tasks for Embedding-based Large-scale Retrieval—0
Pretrain-KGEs: Learning Knowledge Representation from Pretrained Models for Knowledge Graph Embeddings—0
Differentially Private Link Prediction With Protected Connections—0
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective—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