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 626650 of 1949 papers

TitleStatusHype
Robust Sequence Networked Submodular Maximization0
PersonaSAGE: A Multi-Persona Graph Neural Network0
EDoG: Adversarial Edge Detection For Graph Neural Networks0
Refined Edge Usage of Graph Neural Networks for Edge Prediction0
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations0
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
Graph Learning with Localized Neighborhood Fairness0
Integrating Heterogeneous Domain Information into Relation Extraction: A Case Study on Drug-Drug Interaction Extraction0
A Retrieve-and-Read Framework for Knowledge Graph Link PredictionCode1
Non-IID Transfer Learning on GraphsCode1
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges0
Scientific Paper Extractive Summarization Enhanced by Citation Graphs0
Analysis of Drug repurposing Knowledge graphs for Covid-190
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature LearningCode0
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations0
Iterative Scene Graph Generation with Generative Transformers0
Text Representation Enrichment Utilizing Graph based Approaches: Stock Market Technical Analysis Case Study0
FakeEdge: Alleviate Dataset Shift in Link PredictionCode0
Link Prediction with Non-Contrastive LearningCode0
Search Behavior Prediction: A Hypergraph PerspectiveCode1
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural NetworksCode1
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph CompletionCode1
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge GraphsCode0
ReInform: Selecting paths with reinforcement learning for contextualized link predictionCode0
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure0
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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