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 826850 of 1949 papers

TitleStatusHype
SimHawNet: A Modified Hawkes Process for Temporal Network SimulationCode0
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge GraphsCode3
Neural Theorem Provers Delineating Search Area Using RNN0
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings0
Deep Partial Multiplex Network Embedding0
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language ModelsCode2
R-GCN: The R Could Stand for RandomCode1
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks0
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022Code1
Equivariant and Stable Positional Encoding for More Powerful Graph Neural NetworksCode1
Directed Graph Auto-EncodersCode1
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge GraphsCode2
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction0
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph CompletionCode1
Improving the Level of Autism Discrimination through GraphRNN Link Prediction0
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion0
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs0
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation0
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities0
Obtaining Dyadic Fairness by Optimal TransportCode0
Bandit Sampling for Multiplex Networks0
Link Prediction of Artificial Intelligence Concepts using Low Computational PowerCode0
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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