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 1326–1350 of 1949 papers

TitleStatusHype
Polar Embedding—0
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs—0
Higher-order Structure Prediction in Evolving Graph Simplicial Complexes—0
ColdExpand: Semi-Supervised Graph Learning in Cold Start—0
Incremental Learning on Growing Graphs—0
Graph Structural Aggregation for Explainable Learning—0
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction—0
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism—0
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure—0
Relational Boosted BanditsCode0
Understanding graph embedding methods and their applications—0
Adversarial Permutation Guided Node Representations for Link PredictionCode0
Pair-view Unsupervised Graph Representation Learning—0
Explainable Link Prediction for Privacy-Preserving Contact Tracing—0
Improving Relation Extraction by Leveraging Knowledge Graph Link PredictionCode0
PPKE: Knowledge Representation Learning by Path-based Pre-training—0
Unsupervised Adversarially-Robust Representation Learning on Graphs—0
Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug RepurposingCode0
Graph-based Aspect Representation Learning for Entity Resolution—0
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial RegularizationCode0
Learning to Interact: An Adaptive Interaction Framework for Knowledge Graph Embeddings—0
Relation Specific Transformations for Open World Knowledge Graph CompletionCode0
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources—0
Conditional Link Prediction of Category-Implicit Keypoint Detection—0
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphCode0
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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