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 1051–1100 of 1949 papers

TitleStatusHype
Privacy Shadow: Measuring Node Predictability and Privacy Over Time—0
Diffusion Maps for Textual Network Embedding—0
Prix-LM: Pretraining for Multilingual Knowledge Base Construction—0
Probabilistic Knowledge Graph Embeddings—0
DINE: A Framework for Deep Incomplete Network Embedding—0
Progresses and Challenges in Link Prediction—0
Projected Canonical Decomposition for Knowledge Base Completion—0
Promoting Fairness in Link Prediction with Graph Enhancement—0
Directed Criteria Citation Recommendation and Ranking Through Link Prediction—0
A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development—0
Directed Graph Embeddings in Pseudo-Riemannian Manifolds—0
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations—0
PubGraph: A Large-Scale Scientific Knowledge Graph—0
PU Learning for Matrix Completion—0
Directed Graph Representation through Vector Cross Product—0
Quantifying Challenges in the Application of Graph Representation Learning—0
Directed Homophily-Aware Graph Neural Network—0
Directed Link Prediction using GNN with Local and Global Feature Fusion—0
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs—0
QUINT: Node embedding using network hashing—0
A Probit Tensor Factorization Model For Relational Learning—0
Random Walks: A Review of Algorithms and Applications—0
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion—0
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space—0
Discriminative Deep Random Walk for Network Classification—0
Reading The Web with Learned Syntactic-Semantic Inference Rules—0
Reconstructing commuters network using machine learning and urban indicators—0
RECS: Robust Graph Embedding Using Connection Subgraphs—0
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling—0
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs—0
Discriminative Gaifman Models—0
Recurrent Event Network : Global Structure Inference Over Temporal Knowledge Graph—0
Dynamic Graph Representation Learning via Edge Temporal States Modeling and Structure-reinforced Transformer—0
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem—0
Discriminative Link Prediction using Local Links, Node Features and Community Structure—0
Refined Edge Usage of Graph Neural Networks for Edge Prediction—0
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs—0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation—0
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks—0
Relation Adversarial Network for Low Resource Knowledge Graph Completion—0
Discussion Structure Prediction Based on a Two-step Method—0
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding—0
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
DisenE: Disentangling Knowledge Graph Embeddings—0
Relation Structure-Aware Heterogeneous Information Network Embedding—0
Relation-weighted Link Prediction for Disease Gene Identification—0
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs—0
Disentangling homophily, community structure and triadic closure in networks—0
Representation Learning for Scale-free Networks—0
Representation learning of dynamic 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