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 451475 of 1949 papers

TitleStatusHype
Human Action Co-occurrence in Lifestyle Vlogs using Graph Link PredictionCode0
Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?Code0
Force-directed graph embedding with hops distanceCode0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding0
End-to-End Learning on Multimodal Knowledge GraphsCode0
Pure Message Passing Can Estimate Common Neighbor for Link PredictionCode1
A Text-based Approach For Link Prediction on Wikipedia ArticlesCode0
Where Did the Gap Go? Reassessing the Long-Range Graph BenchmarkCode1
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation LearningCode0
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
Link Prediction for Wikipedia Articles as a Natural Language Inference TaskCode0
Over-Squashing in Graph Neural Networks: A Comprehensive survey0
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted NetworksCode0
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More0
Relational Concept Bottleneck ModelsCode0
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic GraphsCode0
Geometric instability of graph neural networks on large graphsCode0
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based SimilarityCode1
Modeling Edge Features with Deep Bayesian Graph NetworksCode0
Development of a Knowledge Graph Embeddings Model for PainCode0
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models0
Independent Distribution Regularization for Private Graph EmbeddingCode0
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between NationsCode1
Inductive Knowledge Graph Completion with GNNs and Rules: An AnalysisCode0
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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