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

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Showing 1451–1500 of 1949 papers

TitleStatusHype
A Text-based Approach For Link Prediction on Wikipedia ArticlesCode0
A Topological Perspective on Demystifying GNN-Based Link Prediction PerformanceCode0
ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationCode0
Attention Models in Graphs: A SurveyCode0
Attributed Network Embedding for Incomplete Attributed NetworksCode0
Attributed Network Embedding via Subspace DiscoveryCode0
Augmenting and Tuning Knowledge Graph EmbeddingsCode0
Augmenting Knowledge Graphs for Better Link PredictionCode0
AutoGEL: An Automated Graph Neural Network with Explicit Link InformationCode0
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-LearningCode0
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate TransformerCode0
Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link PredictionCode0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural NetworkCode0
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific NetworksCode0
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changesCode0
Benchmarks for Graph Embedding EvaluationCode0
Beyond Markov Logic: Efficient Mining of Prediction Rules in Large GraphsCode0
Beyond Observed Connections : Link InjectionCode0
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation LearningCode0
BiasedWalk: Biased Sampling for Representation Learning on GraphsCode0
Billion-scale Network Embedding with Iterative Random ProjectionCode0
Binarized Attributed Network EmbeddingCode0
Dual Box Embeddings for the Description Logic EL++Code0
Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4ScienceCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Broad Spectrum Structure Discovery in Large-Scale Higher-Order NetworksCode0
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link PredictionCode0
BScNets: Block Simplicial Complex Neural NetworksCode0
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsCode0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction MethodsCode0
Can NetGAN be improved on short random walks?Code0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Causal Question Answering with Reinforcement LearningCode0
Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?Code0
Classification Using Link PredictionCode0
CoCon: A Data Set on Combined Contextualized Research Artifact UseCode0
CoKE: Contextualized Knowledge Graph EmbeddingCode0
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge BasesCode0
ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph CompletionCode0
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic GraphsCode0
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation LearningCode0
Conformal link prediction for false discovery rate controlCode0
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation ExtractionCode0
Connector 0.5: A unified framework for graph representation learningCode0
Context-aware Event Forecasting via Graph DisentanglementCode0
ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation)Code0
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information NetworksCode0
ConvDySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention and Convolutional Neural NetworksCode0
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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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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