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 1576–1600 of 1949 papers

TitleStatusHype
Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations—0
KG-BERT: BERT for Knowledge Graph CompletionCode0
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
Adversarial Robustness of Similarity-Based Link Prediction—0
A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development—0
Initialization for Network Embedding: A Graph Partition Approach—0
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific NetworksCode0
Hyper-Path-Based Representation Learning for Hyper-NetworksCode0
Power Efficient Discontinuous Reception in THz and mmWave Wireless Systems—0
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks—0
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding—0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules—0
AHINE: Adaptive Heterogeneous Information Network Embedding—0
Benchmarks for Graph Embedding EvaluationCode0
HONEM: Learning Embedding for Higher Order Networks—0
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion—0
RWR-GAE: Random Walk Regularization for Graph Auto EncodersCode0
Deep Hashing for Signed Social Network Embedding—0
Reconstructing commuters network using machine learning and urban indicators—0
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation LearningCode0
Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings—0
Using hyperbolic large-margin classifiers for biological link predictionCode0
Probabilistic Models of Relational ImplicationCode0
Mining Temporal Evolution of Knowledge Graph and Genealogical Features for Literature-based Discovery PredictionCode0
Hyperlink Regression via Bregman Divergence—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