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 1601–1650 of 1949 papers

TitleStatusHype
Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities—0
Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates—0
Exponential Family Graph Embeddings—0
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs—0
EPINE: Enhanced Proximity Information Network Embedding—0
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure—0
FairGAT: Fairness-aware Graph Attention Networks—0
Fair Graph Neural Network with Supervised Contrastive Regularization—0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
Fair Node Representation Learning via Adaptive Data Augmentation—0
Trans4E: Link Prediction on Scholarly Knowledge Graphs—0
Farspredict: A benchmark dataset for link prediction—0
Entity Hierarchy Embedding—0
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors—0
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge—0
Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries—0
Adaptive Candidate Generation for Scalable Edge-discovery Tasks on Data Graphs—0
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs—0
Enhancing Temporal Link Prediction with HierTKG: A Hierarchical Temporal Knowledge Graph Framework—0
Fast Node Embeddings: Learning Ego-Centric Representations—0
Fast Sampling for Bayesian Max-Margin Models—0
Feature Learning for Meta-Paths in Knowledge Graphs—0
Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs—0
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling—0
Few-shot graph link prediction with domain adaptation—0
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information—0
Few-shot Link Prediction on N-ary Facts—0
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
Finding Global Liquefied Natural Gas Potential Trade Relations Based on Improved Link Prediction—0
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks—0
EnhancE：Enhanced Entity and Relation Embedding for Knowledge Hypergraph Link Prediction—0
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data—0
Fitting Low-rank Models on Egocentrically Sampled Partial Networks—0
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations—0
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks—0
Flashlight: Scalable Link Prediction with Effective Decoders—0
FMGNN: Fused Manifold Graph Neural Network—0
FOBE and HOBE: First- and High-Order Bipartite Embeddings—0
Enhanced Expressivity in Graph Neural Networks with Lanczos-Based Linear Constraints—0
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding—0
Forward Backward Similarity Search in Knowledge Networks—0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey—0
Vertex-Centric Visual Programming for Graph Neural Networks—0
wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction—0
Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference—0
Revisiting Graph Neural Networks for Link Prediction—0
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs—0
From communities to interpretable network and word embedding: an unified approach—0
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction—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