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 1401–1450 of 1949 papers

TitleStatusHype
Enhancing Cross-domain Link Prediction via Evolution Process Modeling—0
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs—0
Hyperdimensional Representation Learning for Node Classification and Link Prediction—0
One-shot Learning for Temporal Knowledge Graphs—0
Unveiling Hidden Links Between Unseen Security Entities—0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion—0
Online graph nets—0
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information—0
On Masked Language Models for Contextual Link Prediction—0
On Multi-Relational Link Prediction with Bilinear Models—0
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs—0
The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks—0
On the Equivalence of Holographic and Complex Embeddings for Link Prediction—0
On the ERM Principle with Networked Data—0
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks—0
Updating Embeddings for Dynamic Knowledge Graphs—0
On the Model Shrinkage Effect of Gamma Process Edge Partition Models—0
Time-aware Gradient Attack on Dynamic Network Link Prediction—0
On the use of local structural properties for improving the efficiency of hierarchical community detection methods—0
On Understanding Knowledge Graph Representation—0
Interpreting Knowledge Graph Relation Representation from Word Embeddings—0
Adversarial Robustness of Similarity-Based Link Prediction—0
Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships—0
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction—0
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering—0
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction—0
Adversarial Network Embedding—0
OpticE: A Coherence Theory-Based Model for Link Prediction—0
Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More—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
TNE: A Latent Model for Representation Learning on Networks—0
Over-Squashing in Graph Neural Networks: A Comprehensive survey—0
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs—0
Adversarial Learning for Debiasing Knowledge Graph Embeddings—0
A Statistical Relational Approach to Learning Distance-based GCNs—0
Pair-view Unsupervised Graph Representation Learning—0
Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected—0
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors—0
Bipartite Link Prediction based on Topological Features via 2-hop Path—0
PanRep: Universal node embeddings for heterogeneous graphs—0
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis—0
Biomedical Network Link Prediction using Neural Network Graph Embedding—0
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning—0
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure—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
Topic-aware latent models for representation learning on networks—0
Topic Modeling and Link-Prediction for Material Property Discovery—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