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 1901–1949 of 1949 papers

TitleStatusHype
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at ScaleCode0
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite HypergraphsCode0
The maximum capability of a topological feature in link predictionCode0
The multilayer random dot product graphCode0
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question AnsweringCode0
The unknown knowns: a graph-based approach for temporal COVID-19 literature miningCode0
Time in a Box: Advancing Knowledge Graph Completion with Temporal ScopesCode0
TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor AggregationCode0
Torsion Graph Neural NetworksCode0
TouchUp-G: Improving Feature Representation through Graph-Centric FinetuningCode0
Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNsCode0
Towards a GML-Enabled Knowledge Graph PlatformCode0
Mining Temporal Evolution of Knowledge Graph and Genealogical Features for Literature-based Discovery PredictionCode0
Towards Enhancing Relational Rules for Knowledge Graph Link PredictionCode0
Towards Real-Time Temporal Graph LearningCode0
Towards Sparse Hierarchical Graph ClassifiersCode0
Towards Sparsification of Graph Neural NetworksCode0
Towards understanding evolution of science through language model seriesCode0
Towards Understanding the Geometry of Knowledge Graph EmbeddingsCode0
Trajectory Encoding Temporal Graph NetworksCode0
Transfer Learning for Temporal Link PredictionCode0
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social NetworksCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal RestrictionCode0
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear SubspacesCode0
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
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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