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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 1949 papers

TitleStatusHype
AutoRDF2GML: Facilitating RDF Integration in Graph Machine LearningCode1
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope PredictionCode1
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP EducationCode1
Fast and Continual Knowledge Graph Embedding via Incremental LoRACode1
Self-Explainable Temporal Graph Networks based on Graph Information BottleneckCode1
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed GraphsCode1
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link PredictionCode1
MOTIVE: A Drug-Target Interaction Graph For Inductive Link PredictionCode1
LinkGPT: Teaching Large Language Models To Predict Missing LinksCode1
Learning Long Range Dependencies on Graphs via Random WalksCode1
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic GraphsCode1
Node Identifiers: Compact, Discrete Representations for Efficient Graph LearningCode1
Accurate Link Prediction for Edge-Incomplete Graphs via PU LearningCode1
Perception-Inspired Graph Convolution for Music Understanding TasksCode1
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural NetworkCode1
BiomedRAG: A Retrieval Augmented Large Language Model for BiomedicineCode1
Hierarchical Attention Models for Multi-Relational GraphsCode1
Diffusion-based Negative Sampling on Graphs for Link PredictionCode1
Spectral Invariant Learning for Dynamic Graphs under Distribution ShiftsCode1
SimMLP: Training MLPs on Graphs without SupervisionCode1
Dynamic Graph Information BottleneckCode1
Masked Graph Autoencoder with Non-discrete BandwidthsCode1
Prototypical Contrastive Learning through Alignment and Uniformity for RecommendationCode1
Disentangled Condensation for Large-scale GraphsCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
Expressive Sign Equivariant Networks for Spectral Geometric LearningCode1
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on GraphsCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Pretraining Language Models with Text-Attributed Heterogeneous GraphsCode1
LPFormer: An Adaptive Graph Transformer for Link PredictionCode1
Does Graph Distillation See Like Vision Dataset Counterpart?Code1
EX-Graph: A Pioneering Dataset Bridging Ethereum and XCode1
Revisiting Link Prediction: A Data PerspectiveCode1
Graph Neural Prompting with Large Language ModelsCode1
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse TransformationCode1
Event Prediction using Case-Based Reasoning over Knowledge GraphsCode1
Pure Message Passing Can Estimate Common Neighbor for Link PredictionCode1
Where Did the Gap Go? Reassessing the Long-Range Graph BenchmarkCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsCode1
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based SimilarityCode1
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between NationsCode1
SimTeG: A Frustratingly Simple Approach Improves Textual Graph LearningCode1
Random Walk on Multiple NetworksCode1
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process ApproachCode1
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New BenchmarkingCode1
Time-aware Graph Structure Learning via Sequence Prediction on Temporal GraphsCode1
Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInECode1
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge GraphsCode1
Learning Probabilistic Symmetrization for Architecture Agnostic EquivarianceCode1
Show:102550
← PrevPage 2 of 39Next →
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