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 526–550 of 1949 papers

TitleStatusHype
SciMON: Scientific Inspiration Machines Optimized for NoveltyCode1
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph CompletionCode1
Friendly Neighbors: Contextualized Sequence-to-Sequence Link PredictionCode1
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule LearningCode1
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future OpportunitiesCode2
Self-Explainable Graph Neural Networks for Link Prediction—0
Domain Generalization Deep Graph Transformation—0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
Improving Link Prediction in Social Networks Using Local and Global Features: A Clustering-based Approach—0
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs—0
DRew: Dynamically Rewired Message Passing with DelayCode1
HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local LevelCode1
Few-shot Link Prediction on N-ary Facts—0
CSGCL: Community-Strength-Enhanced Graph Contrastive LearningCode1
Structural Group Unfairness: Measurement and Mitigation by means of the Effective ResistanceCode0
Zoo Guide to Network Embedding—0
EnhancE：Enhanced Entity and Relation Embedding for Knowledge Hypergraph Link Prediction—0
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking ProblemCode0
Connector 0.5: A unified framework for graph representation learningCode0
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness—0
Dynamic Graph Representation Learning via Edge Temporal States Modeling and Structure-reinforced Transformer—0
Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks—0
Transition Propagation Graph Neural Networks for Temporal NetworksCode0
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link PredictionCode1
H^2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic SpacesCode0
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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