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 19261949 of 1949 papers

TitleStatusHype
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks0
Interaction Order Prediction for Temporal Graphs0
Are Hyperbolic Representations in Graphs Created Equal?0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities0
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction0
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs0
Semi-supervised Network Embedding with Differentiable Deep Quantisation0
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks0
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction0
Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction0
Investigating Extensions to Random Walk Based Graph Embedding0
A Probit Tensor Factorization Model For Relational Learning0
SENSE: Semantically Enhanced Node Sequence Embedding0
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters0
Sequence-to-Sequence Knowledge Graph Completion and Question Answering0
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks0
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network0
Is Complex Query Answering Really Complex?0
IS-GGT: Iterative Scene Graph Generation With Generative Transformers0
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning0
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning0
Applying Universal Schemas for Domain Specific Ontology Expansion0
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning0
Shedding Light on Problems with Hyperbolic Graph Learning0
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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