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 1001–1050 of 1949 papers

TitleStatusHype
KGNN: Distributed Framework for Graph Neural Knowledge Representation—0
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach—0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods—0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods—0
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models—0
Similarity Component Analysis—0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph—0
Knowledge Enhanced Graph Neural Networks for Graph Completion—0
A Parallel and Efficient Algorithm for Learning to Match—0
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers—0
xLP: Explainable Link Prediction for Master Data Management—0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling—0
Discriminative Gaifman Models—0
Knowledge Graph Embedding: An Overview—0
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces—0
Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation—0
Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy—0
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models—0
Discriminative Deep Random Walk for Network Classification—0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules—0
Knowledge Graph Embeddings in Geometric Algebras—0
Simplicial Convolutional Neural Networks—0
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention—0
A Novel Graph Transformer Framework for Gene Regulatory Network Inference—0
Knowledge Graph Embedding via Graph Attenuated Attention Networks—0
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes—0
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs—0
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs—0
Knowledge Graph Embedding with Multiple Relation Projections—0
Knowledge Graph Embedding with Numeric Attributes of Entities—0
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction—0
Knowledge Graph Reasoning Based on Attention GCN—0
Knowledge Graph Representation Learning using Ordinary Differential Equations—0
Knowledge Graph Representation with Jointly Structural and Textual Encoding—0
Knowledge Graphs and Knowledge Networks: The Story in Brief—0
Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs—0
YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training—0
Directed Link Prediction using GNN with Local and Global Feature Fusion—0
Knowledge Probing for Graph Representation Learning—0
Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs—0
Knowlege Graph Embedding by Flexible Translation—0
Kolmogorov-Arnold Graph Neural Networks—0
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction—0
Directed Homophily-Aware Graph Neural Network—0
Directed Graph Representation through Vector Cross Product—0
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks—0
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings—0
Directed Graph Embeddings in Pseudo-Riemannian Manifolds—0
Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining—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