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 526–550 of 1949 papers

TitleStatusHype
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion—0
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning—0
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction—0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation—0
Discriminative Link Prediction using Local Links, Node Features and Community Structure—0
Benchmarking Graph Neural Networks on Link Prediction—0
Discriminative Gaifman Models—0
Discriminative Deep Random Walk for Network Classification—0
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes—0
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings—0
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs—0
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory—0
A comparative study of similarity-based and GNN-based link prediction approaches—0
Directed Link Prediction using GNN with Local and Global Feature Fusion—0
Directed Homophily-Aware Graph Neural Network—0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction—0
Directed Graph Representation through Vector Cross Product—0
Directed Graph Embeddings in Pseudo-Riemannian Manifolds—0
Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures—0
Effective backdoor attack on graph neural networks in link prediction tasks—0
Directed Criteria Citation Recommendation and Ranking Through Link Prediction—0
DINE: A Framework for Deep Incomplete Network Embedding—0
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning—0
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling—0
GENIE: Watermarking Graph Neural 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