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 701–725 of 1949 papers

TitleStatusHype
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic GraphsCode0
GenIC: An LLM-Based Framework for Instance Completion in Knowledge GraphsCode0
Exploring the Performance of Continuous-Time Dynamic Link Prediction AlgorithmsCode0
A Survey of Link Prediction in N-ary Knowledge GraphsCode0
GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document UnderstandingCode0
Influence-guided Data Augmentation for Neural Tensor CompletionCode0
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature InteractionsCode0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
Temporal Fact Reasoning over Hyper-Relational Knowledge GraphsCode0
ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph CompletionCode0
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph ReasoningCode0
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge BasesCode0
Inductive Logical Query Answering in Knowledge GraphsCode0
Exploring and Verbalizing Academic Ideas by Concept Co-occurrenceCode0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community InfluencesCode0
VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning TasksCode0
GNE: a deep learning framework for gene network inference by aggregating biological informationCode0
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial RegularizationCode0
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link PredictionCode0
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of ThingsCode0
Inductive Knowledge Graph Completion with GNNs and Rules: An AnalysisCode0
Gossip and Attend: Context-Sensitive Graph Representation LearningCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
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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