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 851–900 of 1949 papers

TitleStatusHype
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank—0
HONEM: Learning Embedding for Higher Order Networks—0
Fast Node Embeddings: Learning Ego-Centric Representations—0
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers—0
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks—0
Compositional Network Embedding—0
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?—0
Directed Graph Representation through Vector Cross Product—0
Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries—0
Directed Homophily-Aware Graph Neural Network—0
How the use of feature selection methods influences the efficiency and accuracy of complex network simulations—0
How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method—0
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge—0
A Survey on Graph Classification and Link Prediction based on GNN—0
Adaptive Candidate Generation for Scalable Edge-discovery Tasks on Data Graphs—0
HUGE: Huge Unsupervised Graph Embeddings with TPUs—0
Knowledge Graph Embeddings in Geometric Algebras—0
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings—0
Knowledge Graph Representation Learning using Ordinary Differential Equations—0
LASAGNE: Locality And Structure Aware Graph Node Embedding—0
Learning Word Embeddings from Intrinsic and Extrinsic Views—0
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction—0
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors—0
Composing Relationships with Translations—0
Discriminative Link Prediction using Local Links, Node Features and Community Structure—0
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach—0
Farspredict: A benchmark dataset for link prediction—0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction—0
A Survey on Embedding Dynamic Graphs—0
Abstract Graphs and Abstract Paths for Knowledge Graph Completion—0
Fair Node Representation Learning via Adaptive Data Augmentation—0
Log-Normal Matrix Completion for Large Scale Link Prediction—0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
Hyperlink Regression via Bregman Divergence—0
Complex and Holographic Embeddings of Knowledge Graphs: A Comparison—0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness—0
Fair Graph Neural Network with Supervised Contrastive Regularization—0
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs—0
FairGAT: Fairness-aware Graph Attention Networks—0
Hypotheses generation using link prediction in a bipartite graph—0
Comparison of Metadata Representation Models for Knowledge Graph Embeddings—0
A Survey of Link Prediction in Temporal Networks—0
Knowledge Graph Embedding: An Overview—0
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure—0
Community detection in networks using graph embeddings—0
Exponential Family Graph Embeddings—0
Knowledge Enhanced Graph Neural Networks for Graph Completion—0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens—0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling—0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods—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