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 1201–1250 of 1949 papers

TitleStatusHype
Unsupervised Adversarially-Robust Representation Learning on Graphs—0
Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug RepurposingCode0
Graph-based Aspect Representation Learning for Entity Resolution—0
Relation Specific Transformations for Open World Knowledge Graph CompletionCode0
Learning to Interact: An Adaptive Interaction Framework for Knowledge Graph Embeddings—0
Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language ModelsCode1
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial RegularizationCode0
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources—0
Conditional Link Prediction of Category-Implicit Keypoint Detection—0
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural NetworkCode1
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphCode0
Revisiting graph neural networks and distance encoding from a practical viewCode0
Neural graph embeddings as explicit low-rank matrix factorization for link prediction—0
Link prediction in multiplex networks via triadic closure—0
Tucker decomposition-based Temporal Knowledge Graph CompletionCode0
Association Rules Enhanced Knowledge Graph Attention Network—0
Learning to Drop: Robust Graph Neural Network via Topological DenoisingCode1
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery—0
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming EventsCode0
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph CompletionCode1
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming SolutionsCode0
Distill2Vec: Dynamic Graph Representation Learning with Knowledge DistillationCode0
Multi-Label Classification Using Link PredictionCode0
Toward Edge-Centric Network Embeddings—0
Node Attribute Completion in Knowledge Graphs with Multi-Relational PropagationCode0
Two-stage Training of Graph Neural Networks for Graph ClassificationCode1
Relation-weighted Link Prediction for Disease Gene Identification—0
PairRE: Knowledge Graph Embeddings via Paired Relation VectorsCode1
Linking OpenStreetMap with Knowledge Graphs -- Link Discovery for Schema-Agnostic Volunteered Geographic Information—0
Runtime Performances Benchmark for Knowledge Graph Embedding Methods—0
Learning on Attribute-Missing GraphsCode1
GAGE: Geometry Preserving Attributed Graph Embeddings—0
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs—0
ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corporaCode0
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs—0
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network—0
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceCode0
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation LearningCode0
GripNet: Graph Information Propagation on Supergraph for Heterogeneous GraphsCode1
DisenE: Disentangling Knowledge Graph Embeddings—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks—0
Graph Geometry Interaction LearningCode1
One-shot Learning for Temporal Knowledge Graphs—0
Metapath- and Entity-aware Graph Neural Network for RecommendationCode1
Directed Graph Representation through Vector Cross Product—0
Line Graph Neural Networks for Link PredictionCode1
Biomedical Network Link Prediction using Neural Network Graph Embedding—0
Robust Optimization as Data Augmentation for Large-scale GraphsCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
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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