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 151–200 of 1949 papers

TitleStatusHype
Correlated Variational Auto-EncodersCode1
Disentangled Condensation for Large-scale GraphsCode1
A Survey of Adversarial Learning on GraphsCode1
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
A Self-Attention Network based Node Embedding ModelCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable ApproachCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search PersonalizationCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph CompletionCode1
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge NetworksCode1
Adversarial Training Methods for Network EmbeddingCode1
A Survey on Role-Oriented Network EmbeddingCode1
Adaptive Graph Diffusion NetworksCode1
Knowledge Graph Convolutional Networks for Recommender SystemsCode1
Explainable Link Prediction for Emerging Entities in Knowledge GraphsCode1
End-to-end Emotion-Cause Pair Extraction via Learning to LinkCode1
Adaptive Graph Encoder for Attributed Graph EmbeddingCode1
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
EX-Graph: A Pioneering Dataset Bridging Ethereum and XCode1
Euler: Detecting Network Lateral Movement via Scalable Temporal Link PredictionCode1
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge GraphsCode1
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph CompletionCode1
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsCode1
Exphormer: Sparse Transformers for GraphsCode1
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge GraphsCode1
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated TextsCode1
Fast and Continual Knowledge Graph Embedding via Incremental LoRACode1
Fast Graph Learning with Unique Optimal SolutionsCode1
CrossWalk: Fairness-enhanced Node Representation LearningCode1
BiomedRAG: A Retrieval Augmented Large Language Model for BiomedicineCode1
Robust Optimization as Data Augmentation for Large-scale GraphsCode1
Force2Vec: Parallel force-directed graph embeddingCode1
Analogical Inference Enhanced Knowledge Graph EmbeddingCode1
GCC: Graph Contrastive Coding for Graph Neural Network Pre-TrainingCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
Generalizing Tensor Decomposition for N-ary Relational Knowledge BasesCode1
Contrastive Representation Learning for Dynamic Link Prediction in Temporal NetworksCode1
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder modelCode1
GRAPE for Fast and Scalable Graph Processing and random walk-based EmbeddingCode1
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction PerspectiveCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
Graph Convolutional Networks for Graphs Containing Missing FeaturesCode1
Convolutional 2D Knowledge Graph EmbeddingsCode1
ContextGNN: Beyond Two-Tower Recommendation SystemsCode1
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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