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

Showing 12511275 of 1949 papers

TitleStatusHype
Predicting Biomedical Interactions with Higher-Order Graph Convolutional NetworksCode1
InstantEmbedding: Efficient Local Node Representations0
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings0
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations0
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion0
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings0
Inductive Entity Representations from Text via Link PredictionCode1
Probabilistic Case-based Reasoning for Open-World Knowledge Graph CompletionCode1
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference0
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation0
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix FactorizationCode1
TeRo: A Time-aware Knowledge Graph Embedding via Temporal RotationCode1
Knowledge Graph Embeddings in Geometric Algebras0
LibKGE - A knowledge graph embedding library for reproducible researchCode1
NodeSig: Binary Node Embeddings via Random Walk Diffusion0
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks0
Revisiting Graph Neural Networks for Link Prediction0
PanRep: Universal node embeddings for heterogeneous graphs0
Multi-Relational Embedding for Knowledge Graph Representation and AnalysisCode1
Inductive Graph Embeddings through Locality Encodings0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding0
Learning Graph Normalization for Graph Neural NetworksCode1
Message Passing for Hyper-Relational Knowledge GraphsCode1
Modeling the Evolution of Networks as Shrinking Structural Diversity0
EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspectiveCode0
Show:102550
← PrevPage 51 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56Unverified
2CP-N3-RPHits@100.55Unverified
3DistMult (after variational EM)Hits@100.55Unverified
4KG-R3Hits@100.54Unverified
5LASSHits@100.53Unverified
6MDE_advHits@100.53Unverified
7GFA-NNHits@100.52Unverified
8KGRefinerHits@100.49Unverified
9ComplEx NSCachingHits@100.48Unverified
10LogicENNHits@100.47Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88Unverified
2KERMITHits@100.83Unverified
3MoCoSAHits@100.82Unverified
4SimKGCIB(+PB+SN)Hits@100.82Unverified
5C-LMKE(bert-base)Hits@100.79Unverified
6LASSHits@100.79Unverified
7LP-BERTHits@100.75Unverified
8KGLMHits@100.74Unverified
9StAR(Self-Adp)Hits@100.71Unverified
10PALTHits@100.69Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11Unverified
2LibKGE (ruffinelli2020you)training time (s)10Unverified
3GraphVite (zhu2019graphvite)training time (s)6Unverified
4Inverse ModelHits@100.96Unverified
5QuatDEHits@100.96Unverified
6LineaREHits@100.96Unverified
7AutoKGEHits@100.96Unverified
8MEI (small)Hits@100.96Unverified
9ComplEx-N3 (reciprocal)Hits@100.96Unverified
10RotatEHits@100.96Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9Unverified
2AutoKGEMRR0.86Unverified
3ComplEx-N3 (reciprocal)MRR0.86Unverified
4LineaREMRR0.84Unverified
5DistMult (after variational EM)MRR0.84Unverified
6QuatEMRR0.83Unverified
7SEEKMRR0.83Unverified
8MEI-BTDMRR0.81Unverified
9MEI (small)MRR0.8Unverified
10pRotatEMRR0.8Unverified