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 401–450 of 1949 papers

TitleStatusHype
Graph Convolutional Networks for Graphs Containing Missing FeaturesCode1
Graph Convolutional Matrix CompletionCode1
Automatic Relation-aware Graph Network ProliferationCode1
Graph Geometry Interaction LearningCode1
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse TransformationCode1
Simple and Deep Graph Convolutional NetworksCode1
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoningCode1
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learningCode1
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical RecordsCode1
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
Graph Neural Networks for Link Prediction with Subgraph SketchingCode1
Space-Time Correspondence as a Contrastive Random WalkCode1
Stacking Models for Nearly Optimal Link Prediction in Complex NetworksCode1
Meta-Knowledge Transfer for Inductive Knowledge Graph EmbeddingCode1
Language Models as Knowledge EmbeddingsCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
Link Prediction on Latent Heterogeneous GraphsCode1
Multiresolution Equivariant Graph Variational AutoencoderCode1
Graph Representation Learning via Graphical Mutual Information MaximizationCode1
Temporal Knowledge Graph Embedding Model based on Additive Time Series DecompositionCode1
Diffusion-based Negative Sampling on Graphs for Link PredictionCode1
Graph Self-supervised Learning with Accurate Discrepancy LearningCode1
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph EmbeddingCode1
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
A Pure Transformer Pretraining Framework on Text-attributed GraphsCode0
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsCode0
Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4ScienceCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
Independent Distribution Regularization for Private Graph EmbeddingCode0
Improving Relation Extraction by Leveraging Knowledge Graph Link PredictionCode0
Dual Box Embeddings for the Description Logic EL++Code0
Improving rule mining via embedding-based link predictionCode0
Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendationCode0
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement LearningCode0
Calibrating and Improving Graph Contrastive LearningCode0
Hyper-SAGNN: a self-attention based graph neural network for hypergraphsCode0
A Benchmark for Semi-Inductive Link Prediction in Knowledge GraphsCode0
Hyper-Path-Based Representation Learning for Hyper-NetworksCode0
Inductive Knowledge Graph Completion with GNNs and Rules: An AnalysisCode0
Binarized Attributed Network EmbeddingCode0
Billion-scale Network Embedding with Iterative Random ProjectionCode0
Adversarial Autoencoders with Constant-Curvature Latent ManifoldsCode0
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceCode0
An unified approach to link prediction in collaboration networksCode0
Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low DimensionsCode0
Hyperedge Anomaly Detection with Hypergraph Neural NetworkCode0
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature LearningCode0
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph TransformersCode0
Hyperedge Prediction using Tensor Eigenvalue DecompositionCode0
BiasedWalk: Biased Sampling for Representation Learning on GraphsCode0
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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