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 1351–1400 of 1949 papers

TitleStatusHype
Revisiting graph neural networks and distance encoding from a practical viewCode0
Tucker decomposition-based Temporal Knowledge Graph CompletionCode0
Link prediction in multiplex networks via triadic closure—0
Neural graph embeddings as explicit low-rank matrix factorization for link prediction—0
Association Rules Enhanced Knowledge Graph Attention Network—0
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery—0
Toward Edge-Centric Network Embeddings—0
Distill2Vec: Dynamic Graph Representation Learning with Knowledge DistillationCode0
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming EventsCode0
Multi-Label Classification Using Link PredictionCode0
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming SolutionsCode0
Node Attribute Completion in Knowledge Graphs with Multi-Relational PropagationCode0
Relation-weighted Link Prediction for Disease Gene Identification—0
Linking OpenStreetMap with Knowledge Graphs -- Link Discovery for Schema-Agnostic Volunteered Geographic Information—0
Runtime Performances Benchmark for Knowledge Graph Embedding Methods—0
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs—0
GAGE: Geometry Preserving Attributed Graph Embeddings—0
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network—0
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs—0
ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corporaCode0
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceCode0
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation LearningCode0
DisenE: Disentangling Knowledge Graph Embeddings—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
One-shot Learning for Temporal Knowledge Graphs—0
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks—0
Directed Graph Representation through Vector Cross Product—0
Biomedical Network Link Prediction using Neural Network Graph Embedding—0
InstantEmbedding: Efficient Local Node Representations—0
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings—0
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations—0
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion—0
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings—0
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference—0
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation—0
Knowledge Graph Embeddings in Geometric Algebras—0
NodeSig: Binary Node Embeddings via Random Walk Diffusion—0
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks—0
Revisiting Graph Neural Networks for Link Prediction—0
PanRep: Universal node embeddings for heterogeneous graphs—0
Inductive Graph Embeddings through Locality Encodings—0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding—0
Modeling the Evolution of Networks as Shrinking Structural Diversity—0
EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspectiveCode0
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning—0
Does Link Prediction Help Detect Feature Interactions in Software Product Lines (SPLs)?—0
MLMLM: Link Prediction with Mean Likelihood Masked Language Model—0
On the use of local structural properties for improving the efficiency of hierarchical community detection methods—0
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning—0
Community detection in networks using graph embeddings—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