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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 1949 papers

TitleStatusHype
Interaction Order Prediction for Temporal Graphs—0
Structural Explanations for Graph Neural Networks using HSIC—0
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning—0
PubGraph: A Large-Scale Scientific Knowledge Graph—0
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
Neural Common Neighbor with Completion for Link PredictionCode1
Causal Lifting and Link Prediction—0
KG-Hub -- Building and Exchanging Biological Knowledge Graphs—0
Simplifying Subgraph Representation Learning for Scalable Link PredictionCode1
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering—0
DBGDGM: Dynamic Brain Graph Deep Generative Model—0
Dual Box Embeddings for the Description Logic EL++Code0
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural NetworkCode0
GIPA: A General Information Propagation Algorithm for Graph LearningCode1
Sem@K: Is my knowledge graph embedding model semantic-aware?Code1
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question AnsweringCode0
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence ModelingCode2
Analogical Inference Enhanced Knowledge Graph EmbeddingCode1
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying ScaleCode0
IS-GGT: Iterative Scene Graph Generation With Generative Transformers—0
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs—0
Generative Graph Neural Networks for Link PredictionCode1
GANExplainer: GAN-based Graph Neural Networks Explainer—0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
Robust Sequence Networked Submodular Maximization—0
PersonaSAGE: A Multi-Persona Graph Neural Network—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
Refined Edge Usage of Graph Neural Networks for Edge Prediction—0
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations—0
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
Graph Learning with Localized Neighborhood Fairness—0
Integrating Heterogeneous Domain Information into Relation Extraction: A Case Study on Drug-Drug Interaction Extraction—0
A Retrieve-and-Read Framework for Knowledge Graph Link PredictionCode1
Non-IID Transfer Learning on GraphsCode1
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges—0
Scientific Paper Extractive Summarization Enhanced by Citation Graphs—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature LearningCode0
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations—0
Iterative Scene Graph Generation with Generative Transformers—0
Text Representation Enrichment Utilizing Graph based Approaches: Stock Market Technical Analysis Case Study—0
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 Structure—0
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All datasetsFB15k-237WN18RRWN18FB15kYAGO3-10ICEWS05-15ICEWS14CiteseerCoraPubmedWikidata5MGDELT

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56—Unverified
2CP-N3-RPHits@100.55—Unverified
3DistMult (after variational EM)Hits@100.55—Unverified
4KG-R3Hits@100.54—Unverified
5LASSHits@100.53—Unverified
6MDE_advHits@100.53—Unverified
7GFA-NNHits@100.52—Unverified
8KGRefinerHits@100.49—Unverified
9ComplEx NSCachingHits@100.48—Unverified
10LogicENNHits@100.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88—Unverified
2KERMITHits@100.83—Unverified
3MoCoSAHits@100.82—Unverified
4SimKGCIB(+PB+SN)Hits@100.82—Unverified
5C-LMKE(bert-base)Hits@100.79—Unverified
6LASSHits@100.79—Unverified
7LP-BERTHits@100.75—Unverified
8KGLMHits@100.74—Unverified
9StAR(Self-Adp)Hits@100.71—Unverified
10PALTHits@100.69—Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11—Unverified
2LibKGE (ruffinelli2020you)training time (s)10—Unverified
3GraphVite (zhu2019graphvite)training time (s)6—Unverified
4Inverse ModelHits@100.96—Unverified
5QuatDEHits@100.96—Unverified
6LineaREHits@100.96—Unverified
7AutoKGEHits@100.96—Unverified
8MEI (small)Hits@100.96—Unverified
9ComplEx-N3 (reciprocal)Hits@100.96—Unverified
10RotatEHits@100.96—Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9—Unverified
2AutoKGEMRR0.86—Unverified
3ComplEx-N3 (reciprocal)MRR0.86—Unverified
4LineaREMRR0.84—Unverified
5DistMult (after variational EM)MRR0.84—Unverified
6QuatEMRR0.83—Unverified
7SEEKMRR0.83—Unverified
8MEI-BTDMRR0.81—Unverified
9MEI (small)MRR0.8—Unverified
10pRotatEMRR0.8—Unverified