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 1801–1850 of 1949 papers

TitleStatusHype
Dynamic Graph Embedding via LSTM History Tracking—0
Heuristics for Link Prediction in Multiplex Networks—0
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks—0
Node-Time Conditional Prompt Learning In Dynamic Graphs—0
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization—0
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models—0
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs—0
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure—0
Hierarchical Hyperlink Prediction for the WWW—0
DyExplainer: Explainable Dynamic Graph Neural Networks—0
LPNL: Scalable Link Prediction with Large Language Models—0
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems—0
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks—0
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings—0
Scalable Neural Theorem Proving on Knowledge Bases and Natural Language—0
Scalable Text and Link Analysis with Mixed-Topic Link Models—0
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs—0
Higher-Order Relations Skew Link Prediction in Graphs—0
Higher-order Spectral Clustering for Heterogeneous Graphs—0
Higher-order Structure Boosts Link Prediction on Temporal Graphs—0
Higher-order Structure Prediction in Evolving Graph Simplicial Complexes—0
High-order joint embedding for multi-level link prediction—0
DURENDAL: Graph deep learning framework for temporal heterogeneous networks—0
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning—0
Holder Recommendations using Graph Representation Learning & Link Prediction—0
Scaling Knowledge Graph Embedding Models—0
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank—0
HONEM: Learning Embedding for Higher Order Networks—0
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC—0
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers—0
Dual Node and Edge Fairness-Aware Graph Partition—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?—0
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources—0
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction—0
Schema-Guided Event Graph Completion—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
Dual Convolutional Neural Network for Graph of Graphs Link Prediction—0
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction—0
Hub-aware Random Walk Graph Embedding Methods for Classification—0
HUGE: Huge Unsupervised Graph Embeddings with TPUs—0
Scientific Discovery as Link Prediction in Influence and Citation Graphs—0
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings—0
DSSLP: A Distributed Framework for Semi-supervised Link Prediction—0
HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks—0
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction—0
A Survey on Graph Representation Learning Methods—0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings—0
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs—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