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

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Showing 1251–1300 of 1949 papers

TitleStatusHype
Predicting Biomedical Interactions with Higher-Order Graph Convolutional NetworksCode1
InstantEmbedding: Efficient Local Node Representations—0
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings—0
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations—0
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion—0
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings—0
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 Inference—0
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation—0
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 Algebras—0
LibKGE - A knowledge graph embedding library for reproducible researchCode1
NodeSig: Binary Node Embeddings via Random Walk Diffusion—0
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks—0
Revisiting Graph Neural Networks for Link Prediction—0
PanRep: Universal node embeddings for heterogeneous graphs—0
Multi-Relational Embedding for Knowledge Graph Representation and AnalysisCode1
Inductive Graph Embeddings through Locality Encodings—0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding—0
Learning Graph Normalization for Graph Neural NetworksCode1
Message Passing for Hyper-Relational Knowledge GraphsCode1
Modeling the Evolution of Networks as Shrinking Structural Diversity—0
EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspectiveCode0
Force2Vec: Parallel force-directed graph embeddingCode1
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning—0
CoDEx: A Comprehensive Knowledge Graph Completion BenchmarkCode1
Does Link Prediction Help Detect Feature Interactions in Software Product Lines (SPLs)?—0
On the use of local structural properties for improving the efficiency of hierarchical community detection methods—0
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learningCode1
MLMLM: Link Prediction with Mean Likelihood Masked Language Model—0
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning—0
Community detection in networks using graph embeddings—0
Understanding Coarsening for Embedding Large-Scale GraphsCode1
Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Network—0
Hierarchical Message-Passing Graph Neural NetworksCode1
TorchKGE: Knowledge Graph Embedding in Python and PyTorchCode1
Efficient Personalized Community Detection via Genetic Evolution—0
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingCode0
Beyond Observed Connections : Link InjectionCode0
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs—0
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
HittER: Hierarchical Transformers for Knowledge Graph EmbeddingsCode1
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems—0
OFFER: A Motif Dimensional Framework for Network Representation Learning—0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approachCode1
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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