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 1251–1275 of 1949 papers

TitleStatusHype
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels—0
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding—0
The NOESIS Network-Oriented Exploration, Simulation, and Induction System—0
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery—0
A Sequence Learning Method for Domain-Specific Entity Linking—0
The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks—0
Time-aware Gradient Attack on Dynamic Network Link Prediction—0
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression—0
Edge2Node: Reducing Edge Prediction to Node Classification—0
TNE: A Latent Model for Representation Learning on Networks—0
Topic-aware latent models for representation learning on networks—0
Topic Modeling and Link-Prediction for Material Property Discovery—0
Topic-Partitioned Multinetwork Embeddings—0
Topological and Semantic Graph-based Author Disambiguation on DBLP Data in Neo4j—0
TorusE: Knowledge Graph Embedding on a Lie Group—0
Toward Edge-Centric Network Embeddings—0
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function—0
Edge: Enriching Knowledge Graph Embeddings with External Text—0
Towards a graph-based foundation model for network traffic analysis—0
Towards Anticipation of Architectural Smells using Link Prediction Techniques—0
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction—0
Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations—0
Towards Learning Cross-Modal Perception-Trace Models—0
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning—0
Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene 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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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