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
Benchmarking Graph Neural Networks on Dynamic Link PredictionCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
A Survey of Adversarial Learning on GraphsCode1
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
Learning from Counterfactual Links for Link PredictionCode1
Adaptive Attentional Network for Few-Shot Knowledge Graph CompletionCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable ApproachCode1
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 Information BottleneckCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
Global Self-Attention as a Replacement for Graph ConvolutionCode1
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge NetworksCode1
A Self-Attention Network based Node Embedding ModelCode1
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
Adversarial Training Methods for Network EmbeddingCode1
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph CompletionCode1
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsCode1
Exphormer: Sparse Transformers for GraphsCode1
Expressive Sign Equivariant Networks for Spectral Geometric LearningCode1
Convolutional Complex Knowledge Graph EmbeddingsCode1
Fast Graph Learning with Unique Optimal SolutionsCode1
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
LPFormer: An Adaptive Graph Transformer for Link PredictionCode1
BoxE: A Box Embedding Model for Knowledge Base CompletionCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
Force2Vec: Parallel force-directed graph embeddingCode1
Analogical Inference Enhanced Knowledge Graph EmbeddingCode1
Boosting Graph Embedding on a Single GPUCode1
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on GraphsCode1
Generalizing Tensor Decomposition for N-ary Relational Knowledge BasesCode1
Contextual Parameter Generation for Knowledge Graph Link PredictionCode1
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
Graph Algorithms for Multiparallel Word AlignmentCode1
Graph Attention NetworksCode1
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
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionCode1
Contrastive Representation Learning for Dynamic Link Prediction in Temporal NetworksCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
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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