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

Showing 18261850 of 1949 papers

TitleStatusHype
Scaling Knowledge Graph Embedding Models0
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank0
HONEM: Learning Embedding for Higher Order Networks0
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC0
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers0
Dual Node and Edge Fairness-Aware Graph Partition0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph0
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?0
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources0
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction0
Schema-Guided Event Graph Completion0
How the use of feature selection methods influences the efficiency and accuracy of complex network simulations0
How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method0
Dual Convolutional Neural Network for Graph of Graphs Link Prediction0
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction0
Hub-aware Random Walk Graph Embedding Methods for Classification0
HUGE: Huge Unsupervised Graph Embeddings with TPUs0
Scientific Discovery as Link Prediction in Influence and Citation Graphs0
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings0
DSSLP: A Distributed Framework for Semi-supervised Link Prediction0
HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks0
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction0
A Survey on Graph Representation Learning Methods0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings0
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs0
Show:102550
← PrevPage 74 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56Unverified
2CP-N3-RPHits@100.55Unverified
3DistMult (after variational EM)Hits@100.55Unverified
4KG-R3Hits@100.54Unverified
5LASSHits@100.53Unverified
6MDE_advHits@100.53Unverified
7GFA-NNHits@100.52Unverified
8KGRefinerHits@100.49Unverified
9ComplEx NSCachingHits@100.48Unverified
10LogicENNHits@100.47Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88Unverified
2KERMITHits@100.83Unverified
3MoCoSAHits@100.82Unverified
4SimKGCIB(+PB+SN)Hits@100.82Unverified
5C-LMKE(bert-base)Hits@100.79Unverified
6LASSHits@100.79Unverified
7LP-BERTHits@100.75Unverified
8KGLMHits@100.74Unverified
9StAR(Self-Adp)Hits@100.71Unverified
10PALTHits@100.69Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11Unverified
2LibKGE (ruffinelli2020you)training time (s)10Unverified
3GraphVite (zhu2019graphvite)training time (s)6Unverified
4Inverse ModelHits@100.96Unverified
5QuatDEHits@100.96Unverified
6LineaREHits@100.96Unverified
7AutoKGEHits@100.96Unverified
8MEI (small)Hits@100.96Unverified
9ComplEx-N3 (reciprocal)Hits@100.96Unverified
10RotatEHits@100.96Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9Unverified
2AutoKGEMRR0.86Unverified
3ComplEx-N3 (reciprocal)MRR0.86Unverified
4LineaREMRR0.84Unverified
5DistMult (after variational EM)MRR0.84Unverified
6QuatEMRR0.83Unverified
7SEEKMRR0.83Unverified
8MEI-BTDMRR0.81Unverified
9MEI (small)MRR0.8Unverified
10pRotatEMRR0.8Unverified