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 951–1000 of 1949 papers

TitleStatusHype
Transition Propagation Graph Neural Networks for Temporal NetworksCode0
Translating Embeddings for Modeling Multi-relational DataCode0
Tucker decomposition-based Temporal Knowledge Graph CompletionCode0
TuckerDNCaching: high-quality negative sampling with tucker decompositionCode0
TuckER: Tensor Factorization for Knowledge Graph CompletionCode0
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE ModelsCode0
Two Layer Walk: A Community-Aware Graph EmbeddingCode0
Type-Sensitive Knowledge Base Inference Without Explicit Type SupervisionCode0
Understanding the Generalizability of Link Predictors Under Distribution Shifts on GraphsCode0
Understanding the network formation pattern for better link predictionCode0
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph EmbeddingCode0
Universal Knowledge Graph EmbeddingsCode0
Unlink to Unlearn: Simplifying Edge Unlearning in GNNsCode0
Unsupervised Deep Manifold Attributed Graph EmbeddingCode0
USER: Unsupervised Structural Entropy-based Robust Graph Neural NetworkCode0
Using hyperbolic large-margin classifiers for biological link predictionCode0
Vertex-reinforced Random Walk for Network EmbeddingCode0
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming SolutionsCode0
Wasserstein Adversarially Regularized Graph AutoencoderCode0
Watch Your Step: Learning Node Embeddings via Graph AttentionCode0
Web Links Prediction And Category-Wise Recommendation Based On Browser HistoryCode0
Weisfeiler-lehman neural machine for link predictionCode0
Which way? Direction-Aware Attributed Graph EmbeddingCode0
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural NetworkCode0
Iterative Scene Graph Generation with Generative Transformers—0
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs—0
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction—0
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms—0
TSAM: Temporal Link Prediction in Directed Networks based on Self-Attention Mechanism—0
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning—0
Job Posting-Enriched Knowledge Graph for Skills-based Matching—0
Joint embedding in Hierarchical distance and semantic representation learning for link prediction—0
Disentangling homophily, community structure and triadic closure in networks—0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach—0
Jointly Embedding Knowledge Graphs and Logical Rules—0
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference—0
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction—0
SigGAN : Adversarial Model for Learning Signed Relationships in Networks—0
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs—0
DisenE: Disentangling Knowledge Graph Embeddings—0
A PID-Controlled Tensor Wheel Decomposition Model for Dynamic Link Prediction—0
Discussion Structure Prediction Based on a Two-step Method—0
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings—0
Signed Link Prediction with Sparse Data: The Role of Personality Information—0
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling—0
KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation—0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation—0
KG-Hub -- Building and Exchanging Biological Knowledge Graphs—0
Discriminative Link Prediction using Local Links, Node Features and Community Structure—0
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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
8ComplEx-N3 (reciprocal)Hits@100.96—Unverified
9MEI (small)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