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

Showing 5175 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
MOTIVE: A Drug-Target Interaction Graph For Inductive Link PredictionCode1
Heuristic Learning with Graph Neural Networks: A Unified Framework for 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoKGEHits@100.56Unverified
2CP-N3-RPHits@100.55Unverified
3DistMult (after variational EM)Hits@100.55Unverified
4KG-R3Hits@100.54Unverified
5LASSHits@100.53Unverified
6MDE_advHits@100.53Unverified
7GFA-NNHits@100.52Unverified
8KGRefinerHits@100.49Unverified
9ComplEx NSCachingHits@100.48Unverified
10LogicENNHits@100.47Unverified
#ModelMetricClaimedVerifiedStatus
1MoCoKGCHits@100.88Unverified
2KERMITHits@100.83Unverified
3MoCoSAHits@100.82Unverified
4SimKGCIB(+PB+SN)Hits@100.82Unverified
5C-LMKE(bert-base)Hits@100.79Unverified
6LASSHits@100.79Unverified
7LP-BERTHits@100.75Unverified
8KGLMHits@100.74Unverified
9StAR(Self-Adp)Hits@100.71Unverified
10PALTHits@100.69Unverified
#ModelMetricClaimedVerifiedStatus
1OpenKE (han2018openke)training time (s)11Unverified
2LibKGE (ruffinelli2020you)training time (s)10Unverified
3GraphVite (zhu2019graphvite)training time (s)6Unverified
4Inverse ModelHits@100.96Unverified
5QuatDEHits@100.96Unverified
6LineaREHits@100.96Unverified
7AutoKGEHits@100.96Unverified
8ComplEx-N3 (reciprocal)Hits@100.96Unverified
9MEI (small)Hits@100.96Unverified
10RotatEHits@100.96Unverified
#ModelMetricClaimedVerifiedStatus
1OPTransEHits@100.9Unverified
2AutoKGEMRR0.86Unverified
3ComplEx-N3 (reciprocal)MRR0.86Unverified
4LineaREMRR0.84Unverified
5DistMult (after variational EM)MRR0.84Unverified
6QuatEMRR0.83Unverified
7SEEKMRR0.83Unverified
8MEI-BTDMRR0.81Unverified
9MEI (small)MRR0.8Unverified
10pRotatEMRR0.8Unverified