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 1101–1150 of 1949 papers

TitleStatusHype
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods—0
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot LearningCode0
Structure Enhanced Graph Neural Networks for Link Prediction—0
Multi-task Pre-training Language Model for Semantic Network CompletionCode0
Scaling Knowledge Graph Embedding Models—0
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks—0
Neighbor2vec: an efficient and effective method for Graph Embedding—0
Asymptotics of _2 Regularized Network EmbeddingsCode0
Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via Event-based Sparse Temporal Attention Network—0
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing SystemsCode0
Graph Collaborative Reasoning—0
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation LearningCode0
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional NetworksCode0
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods—0
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling—0
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast—0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules—0
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks—0
BScNets: Block Simplicial Complex Neural NetworksCode0
Trivial bundle embeddings for learning graph representations—0
ALX: Large Scale Matrix Factorization on TPUs—0
AutoGEL: An Automated Graph Neural Network with Explicit Link InformationCode0
Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference—0
Structure-Aware Random Fourier Kernel for Graphs—0
MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph—0
Triple Classification for Scholarly Knowledge Graph Completion—0
Network In Graph Neural Network—0
Citation network applications in a scientific co-authorship recommender system—0
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social NetworksCode0
Temporal Knowledge Graph Embedding based on Multivariate Gaussian Process—0
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach—0
Sequence-to-Sequence Knowledge Graph Completion and Question Answering—0
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
Prix-LM: Pretraining for Multilingual Knowledge Base Construction—0
QubitE: Qubit Embedding for Knowledge Graph CompletionCode0
Symmetry-driven network reconstruction through pseudobalanced coloring optimization—0
Time in a Box: Advancing Knowledge Graph Completion with Temporal ScopesCode0
Topic-aware latent models for representation learning on networks—0
Wasserstein Adversarially Regularized Graph AutoencoderCode0
GROWL: Group Detection With Link Prediction—0
High-order joint embedding for multi-level link prediction—0
A Probit Tensor Factorization Model For Relational Learning—0
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings—0
Low Resource Quadratic Forms for Knowledge Graph Embeddings—0
Knowledge Graph Representation Learning using Ordinary Differential Equations—0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction—0
Open-Domain Contextual Link Prediction and its Complementarity with Entailment GraphsCode0
A Semantic Filter Based on Relations for Knowledge Graph Completion—0
Graph Embedding with Hierarchical Attentive Membership—0
Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks—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