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 1851–1875 of 1949 papers

TitleStatusHype
Forward Backward Similarity Search in Knowledge Networks—0
Hierarchical Hyperlink Prediction for the WWW—0
Knowledge Graph Representation with Jointly Structural and Textual Encoding—0
The NOESIS Network-Oriented Exploration, Simulation, and Induction System—0
Link Prediction using Embedded Knowledge Graphs—0
Natural-Parameter Networks: A Class of Probabilistic Neural NetworksCode0
Limitations and Alternatives for the Evaluation of Large-scale Link Prediction—0
Jointly Embedding Knowledge Graphs and Logical Rules—0
Encoding Temporal Information for Time-Aware Link Prediction—0
Discriminative Gaifman Models—0
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction—0
Improved Knowledge Base Completion by Path-Augmented TransR Model—0
Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs—0
Learning Word Embeddings from Intrinsic and Extrinsic Views—0
Discriminative Deep Random Walk for Network Classification—0
A Discriminative Topic Model using Document Network Structure—0
Higher-Order Factorization MachinesCode0
Evaluating Link Prediction Accuracy on Dynamic Networks with Added and Removed Edges—0
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks—0
STransE: a novel embedding model of entities and relationships in knowledge basesCode0
Predict Anchor Links across Social Networks via an Embedding Approach—0
Link Prediction via Matrix Completion—0
A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations—0
Structural Deep Network EmbeddingCode0
Applying Universal Schemas for Domain Specific Ontology Expansion—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