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 801–850 of 1949 papers

TitleStatusHype
A Hybrid Generative/Discriminative Approach To Citation Prediction—0
DeepLink: A Novel Link Prediction Framework based on Deep Learning—0
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks—0
Fitting Low-rank Models on Egocentrically Sampled Partial Networks—0
Halting in Random Walk Kernels—0
Handling Class Imbalance in Link Prediction using Learning to Rank Techniques—0
Conformalized Link Prediction on Graph Neural Networks—0
A Survey on Hyperlink Prediction—0
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task—0
Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks—0
Harvesting Textual and Structured Data from the HAL Publication Repository—0
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks—0
Degree-Based Random Walk Approach for Graph Embedding—0
Conformalized Answer Set Prediction for Knowledge Graph Embedding—0
Iterative Scene Graph Generation with Generative Transformers—0
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning—0
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction—0
Heterogeneous Graph Neural Network with Multi-view Representation Learning—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
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction—0
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning—0
Few-shot Link Prediction on N-ary Facts—0
Heuristic-Informed Mixture of Experts for Link Prediction in Multilayer Networks—0
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources—0
Heuristics for Link Prediction in Multiplex Networks—0
AHINE: Adaptive Heterogeneous Information Network Embedding—0
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information—0
Few-shot graph link prediction with domain adaptation—0
Conditional Network Embeddings—0
Conditional Local Feature Encoding for Graph Neural Networks—0
A Survey on Graph Representation Learning Methods—0
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning—0
Feature Learning for Meta-Paths in Knowledge Graphs—0
Anchor Prediction: A Topic Modeling Approach—0
Fast Sampling for Bayesian Max-Margin Models—0
Conditional Link Prediction of Category-Implicit Keypoint Detection—0
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings—0
Fast Node Embeddings: Learning Ego-Centric Representations—0
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems—0
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs—0
Higher-Order Relations Skew Link Prediction in Graphs—0
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks—0
Higher-order Structure Boosts Link Prediction on Temporal Graphs—0
Higher-order Structure Prediction in Evolving Graph Simplicial Complexes—0
High-order joint embedding for multi-level link prediction—0
Compositional Network Embedding—0
Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries—0
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge—0
A Survey on Graph Classification and Link Prediction based on GNN—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