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 751–800 of 1949 papers

TitleStatusHype
Consistencies and inconsistencies between model selection and link prediction in networks—0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey—0
Graph Embedding with Hierarchical Attentive Membership—0
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
GraphGAN: Generating Graphs via Random Walks—0
Data Augmentation for Personal Knowledge Base Population—0
Graph Generation via Scattering—0
Improving Link Prediction in Social Networks Using Local and Global Features: A Clustering-based Approach—0
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation—0
Improving Neural Knowledge Base Completion with Cross-Lingual Projections—0
Forward Backward Similarity Search in Knowledge Networks—0
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding—0
Graph Learning: A Survey—0
A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings—0
Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction—0
FOBE and HOBE: First- and High-Order Bipartite Embeddings—0
Adaptive Convolution for Multi-Relational Learning—0
Decoupling feature propagation from the design of graph auto-encoders—0
Graph Neural Networks at a Fraction—0
Improving Node Representation by Boosting Target-Aware Contrastive Loss—0
FMGNN: Fused Manifold Graph Neural Network—0
Flashlight: Scalable Link Prediction with Effective Decoders—0
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings—0
Graph Ordering: Towards the Optimal by Learning—0
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs—0
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks—0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion—0
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series—0
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks—0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding—0
Graph Representation Learning on Tissue-Specific Multi-Omics—0
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?—0
A Hybrid Generative/Discriminative Approach To Citation Prediction—0
Fitting Low-rank Models on Egocentrically Sampled Partial Networks—0
Conformalized Link Prediction on Graph Neural Networks—0
Deep Generative Models for Relational Data with Side Information—0
Graph Structural Aggregation for Explainable Learning—0
A Survey on Hyperlink Prediction—0
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange—0
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks—0
Conformalized Answer Set Prediction for Knowledge Graph Embedding—0
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding—0
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs—0
Deep Hashing for Signed Social Network Embedding—0
Finding Global Liquefied Natural Gas Potential Trade Relations Based on Improved Link Prediction—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
GROWL: Group Detection With Link Prediction—0
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction—0
Few-shot Link Prediction on N-ary Facts—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