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 10511075 of 1949 papers

TitleStatusHype
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
Inter-domain Multi-relational Link PredictionCode0
Learning Based Proximity Matrix Factorization for Node EmbeddingCode0
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange0
Vertex-Centric Visual Programming for Graph Neural Networks0
Multiple Kernel Representation Learning on NetworksCode0
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures0
Pseudo-Riemannian Graph Convolutional NetworksCode1
Network Estimation by Mixing: Adaptivity and More0
Learning from Counterfactual Links for Link PredictionCode1
A Systematic Investigation of KB-Text Embedding Alignment at ScaleCode0
Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism0
Cross-Network Learning with Partially Aligned Graph Convolutional Networks0
End-to-End Hierarchical Relation Extraction for Generic Form Understanding0
Multiresolution Equivariant Graph Variational AutoencoderCode1
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector EmbeddingsCode1
How Attentive are Graph Attention Networks?Code1
Hashing-Accelerated Graph Neural Networks for Link PredictionCode1
Motif Prediction with Graph Neural Networks0
Out-of-Vocabulary Entities in Link PredictionCode0
Predicting Links on Wikipedia with Anchor Text Information0
Self-Supervised Graph Representation Learning via Topology TransformationsCode0
Graph Based Link Prediction between Human Phenotypes and Genes0
Heterogeneous Graph Representation Learning with Relation AwarenessCode1
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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